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Ambalathankandy Prasoon
| Research Center for Integrated Quantum Electronics | Postdoctoral Fellow |
Specialities:
Image Processing, Digital ASIC/FPGA Design, Data converters, Post silicon validation, Programming soft microprocessors, PCB design
Design Expertise:
• Real-time image processing.
• ASIC and FPGA design in Verilog.
• Developing self-checking testbenches in Verilog.
• Microprocessors: Nios II and Xilinx PicoBlaze
Research activity information
■ Awards- Sep. 2020, Graduate School / Faculty of Information Science and Technology, Hokkaido University, Dean's Award
- 2019, Japan Society for the Promotion of Science (JSPS), Research Fellowships for Young Scientists.
JSPS fellow- DC2
Prasoon Ambalathankandy - Dec. 2018, IEEE Circuits and System Society (CAS), Travel Grant
- May 2018, Hokkaido International Exchange & Cooperation Center, Foreign Student Scholarship
- 2018, Toshiba Memory Corporation Limited, 1 million Yen
Toshiba Memory Grant-in-Aid for the Encouragement of Young Scientist
Prasoon Ambalathankandy - 2017, Japan Student Services Organization, The Monbukagakusho Honors Scholarship
Prasoon Ambalathankandy - 2009, Marie Curie Initial Training Network, Marie Curie Fellowship 2009-2012
Prasoon Ambalathankandy
- Systolic array based syndrome graph pruning for quantum error correction using FPGAs
Prasoon Ambalathankandy; Werner Florian Samayoa; Jan Erik R. Wichmann; Kentaro Sano
Proceedings of the 15th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies, 126, 130, ACM, 25 May 2025
International conference proceedings - Correction techniques for variations and nonlinearity in CMOS terahertz image sensors
Masayuki Ikebe; Yoshihiro Komatsu; Takuto Togashi; Prasoon Ambalathankandy; Yuri Kanazawa
JAPANESE JOURNAL OF APPLIED PHYSICS, 64, 4, 01 Apr. 2025
English, Scientific journal - Layer Separation: Adjustable Joint Space Width Images Synthesis in Conventional Radiography.
Haolin Wang 0007; Yafei Ou; Prasoon Ambalathankandy; Gen Ota; Pengyu Dai; Masayuki Ikebe; Kenji Suzuki 0001; Tamotsu Kamishima
CoRR, abs/2502.01972, Feb. 2025
Scientific journal - Layer Separation: Towards Adjustable Joint Space Width Images Synthesis.
Haolin Wang 0007; Yafei Ou; Prasoon Ambalathankandy; Gen Ota; Pengyu Dai; Masayuki Ikebe; Kenji Suzuki 0001; Tamotsu Kamishima
ACM Multimedia, 8273, 8282, 2025
International conference proceedings - Layer Separation: Towards Adjustable Joint Space Width Images Synthesis
Haolin Wang; Yafei Ou; Prasoon Ambalathankandy; Gen Ota; Pengyu Dai; Masayuki Ikebe; Kenji Suzuki; Tamotsu Kamishima
PROCEEDINGS OF THE 33RD ACM INTERNATIONAL CONFERENCE ON MULTIMEDIA (MM 2025), 8273, 8282, 2025
English, International conference proceedings - BLS-GAN: A Deep Layer Separation Framework for Eliminating Bone Overlap in Conventional Radiographs.
Haolin Wang; Yafei Ou; Prasoon Ambalathankandy; Gen Ota; Pengyu Dai; Masayuki Ikebe; Kenji Suzuki 0001; Tamotsu Kamishima
AAAI, 7674, 7681, 2025
International conference proceedings - Corrections to "A Sub-Pixel Accurate Quantification of Joint Space Narrowing Progression in Rheumatoid Arthritis".
Yafei Ou; Prasoon Ambalathankandy; Ryunosuke Furuya; Seiya Kawada; Tianyu Zeng; Yujie An; Tamotsu Kamishima; Kenichi Tamura; Masayuki Ikebe
IEEE Journal of Biomedical and Health Informatics, 28, 2, 1152, 1154, Feb. 2024
Scientific journal - Halo Reduction in Display Systems through Smoothed Local Histogram Equalization and Human Visual System Modeling.
Prasoon Ambalathankandy; Yafei Ou; Masayuki Ikebe
CoRR, abs/2402.06212, 2024
Scientific journal - A Psychological Study: Importance of Contrast and Luminance in Color to Grayscale Mapping
Prasoon Ambalathankandy; Yafei Ou; Sae Kaneko; Masayuki Ikebe
Color and Imaging Conference, 31, 1, 55, 60, Society for Imaging Science & Technology, 13 Nov. 2023
Scientific journal - A deep registration method for accurate quantification of joint space narrowing progression in rheumatoid arthritis.
Haolin Wang; Yafei Ou; Wanxuan Fang; Prasoon Ambalathankandy; Naoto Goto; Gen Ota; Taichi Okino; Jun Fukae; Kenneth Sutherland; Masayuki Ikebe; Tamotsu Kamishima
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society, 108, 102273, 102273, Sep. 2023, [International Magazine]
English, Scientific journal, Rheumatoid arthritis (RA) is a chronic autoimmune inflammatory disease that leads to progressive articular destruction and severe disability. Joint space narrowing (JSN) has been regarded as an important indicator for RA progression and has received significant attention. Radiology plays a crucial role in the diagnosis and monitoring of RA through the assessment of joint space. A new framework for monitoring joint space by quantifying joint space narrowing (JSN) progression through image registration in radiographic images has emerged as a promising research direction. This framework offers the advantage of high accuracy; however, challenges still exist in reducing mismatches and improving reliability. In this work, we utilize a deep intra-subject rigid registration network to automatically quantify JSN progression in the early stages of RA. In our experiments, the mean-square error of the Euclidean distance between the moving and fixed images was 0.0031, the standard deviation was 0.0661 mm and the mismatching rate was 0.48%. Our method achieves sub-pixel level accuracy, surpassing manual measurements significantly. The proposed method is robust to noise, rotation and scaling of joints. Moreover, it provides misalignment visualization, which can assist radiologists and rheumatologists in assessing the reliability of quantification, exhibiting potential for future clinical applications. As a result, we are optimistic that our proposed method will make a significant contribution to the automatic quantification of JSN progression in RA. Code is available at https://github.com/pokeblow/Deep-Registration-QJSN-Finger.git. - A deep registration method for accurate quantification of joint space narrowing progression in rheumatoid arthritis
Haolin Wang; Yafei Ou; Wanxuan Fang; Prasoon Ambalathankandy; Naoto Goto; Gen Ota; Taichi Okino; Jun Fukae; Kenneth Sutherland; Masayuki Ikebe; Tamotsu Kamishima
Computerized Medical Imaging and Graphics, 108, 102273, 102273, Elsevier BV, Sep. 2023
Scientific journal - Pixel Variation Characteristics of a Global Shutter THz Imager and its Calibration Technique.
Yuri Kanazawa; Prasoon Ambalathankandy; Masayuki Ikebe
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, 106, 5, 832, 839, May 2023
Scientific journal - Pixel Variation Characteristics of a Global Shutter THz Imager and its Calibration Technique
Yuri Kanazawa; Prasoon Ambalathankandy; Masayuki Ikebe
IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, E106A, 5, 832, 839, May 2023
English, Scientific journal - A Sub-Pixel Accurate Quantification of Joint Space Narrowing Progression in Rheumatoid Arthritis
Yafei Ou; Prasoon Ambalathankandy; Ryunosuke Furuya; Seiya Kawada; Tianyu Zeng; Yujie An; Tamotsu Kamishima; Kenichi Tamura; Masayuki Ikebe
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 27, 1, 53, 64, Jan. 2023
English, Scientific journal - A Sub-Pixel Accurate Quantification of Joint Space Narrowing Progression in Rheumatoid Arthritis
Ou, Yafei; Ambalathankandy, Prasoon; Furuya, Ryunosuke; Kawada, Seiya; Zeng, Tianyu; An, Yujie; Kamishima, Tamotsu; Tamura, Kenichi; Ikebe, Masayuki
IEEE Journal of Biomedical and Health Informatics, 27, 1, 53, 64, Jan. 2023
English, Scientific journal, Rheumatoid arthritis (RA) is a chronic autoimmune disease that primarily affects peripheral synovial joints, like fingers, wrists and feet. Radiology plays a critical role in the diagnosis and monitoring of RA. Limited by the current spatial resolution of radiographic imaging, joint space narrowing (JSN) progression of RA for the same reason above can be less than one pixel per year with universal spatial resolution. Insensitive monitoring of JSN can hinder the radiologist/rheumatologist from making a proper and timely clinical judgment. In this paper, we propose a novel and sensitive method that we call partial image phase-only correlation which aims to automatically quantify JSN progression in the early RA. The majority of the current literature utilizes the mean error, root-mean-square deviation and standard deviation to report the accuracy at pixel level. Our work measures JSN progression between a baseline and its follow-up finger joint images by using the phase spectrum in the frequency domain. Using this study, the mean error can be reduced to 0.0130 mm when applied to phantom radiographs with ground truth, and 0.0519 mm standard deviation for clinical radiography. With the sub-pixel accuracy far beyond usual manual measurements, we are optimistic that the proposed work is a promising scheme for automatically quantifying JSN progression. - A Sub-Pixel Accurate Quantification of Joint Space Narrowing Progression in Rheumatoid Arthritis.
Yafei Ou; Prasoon Ambalathankandy; Ryunosuke Furuya; Seiya Kawada; Tianyu Zeng; Yujie An; Tamotsu Kamishima; Kenichi Tamura; Masayuki Ikebe
IEEE journal of biomedical and health informatics, 27, 1, 53, 64, Jan. 2023, [International Magazine]
English, Scientific journal, Rheumatoid arthritis (RA) is a chronic autoimmune disease that primarily affects peripheral synovial joints, like fingers, wrists and feet. Radiology plays a critical role in the diagnosis and monitoring of RA. Limited by the current spatial resolution of radiographic imaging, joint space narrowing (JSN) progression of RA for the same reason above can be less than one pixel per year with universal spatial resolution. Insensitive monitoring of JSN can hinder the radiologist/rheumatologist from making a proper and timely clinical judgment. In this paper, we propose a novel and sensitive method that we call partial image phase-only correlation which aims to automatically quantify JSN progression in the early RA. The majority of the current literature utilizes the mean error, root-mean-square deviation and standard deviation to report the accuracy at pixel level. Our work measures JSN progression between a baseline and its follow-up finger joint images by using the phase spectrum in the frequency domain. Using this study, the mean error can be reduced to 0.0130 mm when applied to phantom radiographs with ground truth, and 0.0519 mm standard deviation for clinical radiography. With the sub-pixel accuracy far beyond usual manual measurements, we are optimistic that the proposed work is a promising scheme for automatically quantifying JSN progression. - Ring-VCO-based ReLU activation function with linearity improvement for pulsed neuron circuits.
Pitchayapatchaya Srikram; Prasoon Ambalathankandy; Yuri Kanazawa; Masato Motomura; Masayuki Ikebe
29th IEEE International Conference on Electronics, Circuits and Systems, 1, 4, IEEE, 2022
International conference proceedings - Simultaneous pixel calibration for global shutter THz imager.
Yuri Kanazawa; Prasoon Ambalathankandy; Masayuki Ikebe
29th IEEE International Conference on Electronics, Circuits and Systems, 1, 4, IEEE, 2022
International conference proceedings - Ring-VCO-based ReLU activation function with linearity improvement for pulsed neuron circuits
Pitchayapatchaya Srikram; Prasoon Ambalathankandy; Yuri Kanazawa; Masato Motomura; Masayuki Ikebe
2022 29TH IEEE INTERNATIONAL CONFERENCE ON ELECTRONICS, CIRCUITS AND SYSTEMS (IEEE ICECS 2022), 2022
English, International conference proceedings - Simultaneous pixel calibration for global shutter THz imager
Yuri Kanazawa; Prasoon Ambalathankandy; Masayuki Ikebe
2022 29TH IEEE INTERNATIONAL CONFERENCE ON ELECTRONICS, CIRCUITS AND SYSTEMS (IEEE ICECS 2022), 2022
English, International conference proceedings - Joint space narrowing progression quantification with joint angle correction in rheumatoid arthritis
Yafei Ou; Prasoon Ambalathankandy; Ryunosuke Furuya; Seiya Kawada; Tamotsu Kamishima; Masayuki Ikebe
2022 14TH BIOMEDICAL ENGINEERING INTERNATIONAL CONFERENCE (BMEICON 2022), 2022
English, International conference proceedings - HDR Tone mapping: System Implementations and Benchmarking
Masayuki Ikebe; Prasoon Ambalathankandy; Yafei Ou
ITE Transactions on Media Technology and Applications, 10, 2, 27, 51, 2022, [Invited]
English, Scientific journal - Warm-cool color-based high-speed decolorization: an empirical approach for tone mapping applications
Prasoon Ambalathankandy; Yafei Ou; Masayuki Ikebe
Journal of Electronic Imaging, 30, 04, SPIE-Intl Soc Optical Eng, 28 Aug. 2021, [Peer-reviewed]
Scientific journal - Real-time tone mapping: a survey and cross-implementation hardware benchmark
Yafei Ou; Prasoon Ambalathankandy; Shinya Takamaeda; Masato Motomura; Tetsuya Asai; Masayuki Ikebe
IEEE Transactions on Circuits and Systems for Video Technology, 1, 1, Institute of Electrical and Electronics Engineers (IEEE), 2021
Scientific journal - Real-time Tone Mapping: A State of the Art Report
Yafei Ou; Prasoon Ambalathankandy; Masayuki Ikebe; Shinya Takamaeda; Masato Motomura; Tetsuya Asai
06 Mar. 2020
The rising demand for high quality display has ensued active research in high
dynamic range (HDR) imaging, which has the potential to replace the standard
dynamic range imaging. This is due to HDR's features like accurate
reproducibility of a scene with its entire spectrum of visible lighting and
color depth. But this capability comes with expensive capture, display, storage
and distribution resource requirements. Also, display of HDR images/video
content on an ordinary display device with limited dynamic range requires some
form of adaptation. Many adaptation algorithms, widely known as tone mapping
operators, have been studied and proposed in the last few decades. In this
state of the art report, we present a comprehensive survey of 50+ tone mapping
algorithms that have been implemented on hardware for acceleration and
real-time performance. These algorithms have been adapted or redesigned to make
them hardware-friendly. All real-time application poses strict timing
constraints which requires time exact processing of the algorithm. This design
challenge require novel solution, and in this report we focus on these issues.
In this we survey will discuss those tonemap algorithms which have been
implemented on GPU [1-10], FPGA [11-41], and ASIC [42-53] in terms of their
hardware specifications and performance. Output image quality is an important
metric for tonemap algorithms. From our literature survey we found that,
various objective quality metrics have been used to demonstrate the
functionality of adapting the algorithm on hardware platform. We have compiled
and studied all the metrics used in this survey [54-67]. Finally, in this
report we demonstrate the link between hardware cost and image quality thereby
illustrating the underlying trade-off which will be useful for the research
community. - Radiography Contrast Enhancement: Smoothed LHE Filter a Practical Solution for Digital X-Rays with Mach Band
Prasoon Ambalathankandy; Yafei Ou; Jyotsna Kochiyil; Shinya Takamaeda; Masato Motomura; Tetsuya Asai; Masayuki Ikebe
2019 IEEE Digital Image Computing: Techniques and Applications (DICTA), 1, 8, IEEE, Dec. 2019, [Peer-reviewed]
English, International conference proceedings, In this paper, we analyze and propose the usefulness of smoothed LHE (Local Histogram Equalization) filters for processing images with low contrast like digital radiographic images. Digital X-rays are known to have optical illusions like Mach bands and background contrast effects, which are caused by lateral inhibition phenomena. We observe that using multilayer (ML) methods with latest edge preserving filter for contrast enhancement in medical images can be problematic and could lead to faulty diagnosis from detail exaggeration which are caused by uncontrolled texture boosting from user defined gain settings. ML filters are designed with few subjectively selected filter kernel sizes, which can result in unnaturalness in output images. We propose a smoothed LHE-like filter with an adaptive gain control, that is more robust and can enhance fine details in digital X-rays while maintaining their intrinsic naturalness. Preserving naturalness in X-ray images are an essential feature for radiographic diagnostics. Our proposed filter has 0(1) complexity and can easily be controlled and operated with a continuously varying kernel size, which functions like an active high pass filter, amplifying all frequencies within the kernel. - An Adaptive Global and Local Tone Mapping Algorithm Implemented on FPGA
Prasoon Ambalathankandy; Masayuki Ikebe; Takayuki Yoshida; Takeshi Shimada; Shinya Takamaeda; Masato Motomura; Tetsuya Asai
IEEE Transactions on Circuits and Systems for Video Technology, 30, 9, 3015, 3028, Jul. 2019, [Peer-reviewed]
English, Scientific journal, We present a fast global and locally adaptive tone mapping algorithm and its FPGA implementation. The specially designed tone mapping function, which is based on local histogram equalization, controls global and local characteristics individually. In contrast to other tonemap operators, our algorithm manages light/dark halos separately and by using local tonemap function alone, it is able to effectively suppress noise. We validated our algorithms effectiveness by means of subjective and objective assessment. Using average of the bins, we achieve fast smoothed local histogram estimation with fewer bins while maintaining high accuracy. Our new implementation method, requires minimal data access and reduced memory as it operates with a downscaled frame size of 240 × 135 pixels. Relative local area size is 248 × 248 @Full-HD resolution (1920 × 1080). For low-latency pixel output, the system performs the tone mapping using pixel information from the previous frame. When we implemented the system on FPGA (TB-7K-325TIMG, Xilinx Kintex-7), we achieved lightweight hardware as the total usage rate is about 25% of the available FPGA resource. Using an online 1080p video we demonstrate, a real-time video processing using our hardware tone mapping system.
https://www.youtube.com/watch?v=oJ22QEuUxDk - Automatic Radiographic Quantification of Joint Space Narrowing Progression in Rheumatoid Arthritis Using POC
Yafei Ou; Prasoon Ambalathankandy; Takeshi Shimada; Tamotsu Kamishima; Masayuki Ikebe
2019 IEEE 16th International Symposium on Biomedical Imaging, 1183, 1187, IEEE, Apr. 2019, [Peer-reviewed]
English, International conference proceedings, This paper is an application of image processing techniques for computer-aided diagnosis of Rheumatoid Arthritis (RA). Accurately measuring the progression of joint space narrowing (JSN) is crucial during medical treatment and in imaging biomarkers in clinical trials. In this paper, we analyze sequential radiographic images of patients who have rheumatoid arthritis in hands using image processing techniques. Phase only correlation (POC) is used to detect the progression of JSN between images. A new image processing algorithm is proposed to segment joint images so as to eliminate the mutual interference when measuring the movement of the upper and lower bones by POC. We found that the texture feature on bones will greatly affect the accuracy of POC. Median filter is used to eliminate the effect of texture, and excellent results are obtained in practice. Additionally, the progress of JSN is measured accurately in our method. This can be beneficial for doctors in the identification of disease stages. - Analysis of Smoothed LHE Methods for Processing Images with Optical Illusions
Prasoon Ambalathankandy; Takeshi Shimada; Shinya Takamaeda; Masato Motomura; Tetsuya Asai; Masayuki Ikebe
2018 IEEE Visual Communications and Image Processing (VCIP), 1, 4, IEEE, Apr. 2019, [Peer-reviewed]
English, International conference proceedings, To replicate human visual perception, we analyze processing images with optical illusion using edge preserving filters and smoothed local histogram equalization (LHE). Images with the optical illusions are good models for gradual/rapid changes in contrast and strong edges, which are good cases for assessing the robustness of image filters. Here, we study and an-alyze the performance of smoothed LHE filters while processing perceptual illusion. Our studies conclude that, smoothed LHEs are useful in retaining actual edge forms in these images as they can operate using large kernel sizes. These large kernel size filters can construct sawtooth like edge and it corresponds to adequately wide halos. We also demonstrate the usefulness of smoothed LHE like tone mapping techniques in preserving naturalness, and we confirmed it by performing subjective visual test. - Wideband terahertz imaging pixel with a small on-chip antenna in 180 nm CMOS
Yuri Kanazawa; Sayuri Yokoyama; Shota Hiramatsu; Eiichi Sano; Takahiro Ikegami; Yuma Takida; Prasoon Ambalathankandy; Hiroaki Minamide; Masayuki Ikebe
Japanese Journal of Applied Physics, 58, SBBL06, Mar. 2019, [Peer-reviewed]
English, We propose a Si-CMOS terahertz image sensor to resolve paucity of low-cost and small-size detectors. The imaging pixel consists of an on-chip antenna and an amplifier acting as envelope detector. The pixel uses a microstrip patch antenna for receiving THz waves. However, the antenna's narrow bandwidth and large ground plane size causes major problems. A low-resistivity Si substrate degrades the gain of planar antennas besides the microstrip patch antenna. We introduce an on-chip folded-slot antenna to reduce the pixel size and prevent gain degradation due to the Si substrate. The antenna has a broader bandwidth and higher gain than conventional on-chip slot antenna. We fabricated the patch/folded-slot types of the pixel circuits by using 0.18 μm CMOS process. Measurement results show that the folded-slot antenna has a broader bandwidth from 850 GHz to 1.05 THz - 5.8 A 32× 32-Pixel 0.9 THz Imager with Pixel-Parallel 12b VCO-Based ADC in 0.18 μm CMOS
Sayuri Yokoyama; Masayuki Ikebe; Yuri Kanazawa; Takahiro Ikegami; Prasoon Ambalathankandy; Shota Hiramatsu; Eiichi Sano; Yuma Takida; HIroaki Minamide
2019 IEEE International Solid-State Circuits Conference-(ISSCC), 108, 110, IEEE, Feb. 2019, [Peer-reviewed]
English, International conference proceedings, There are many compelling characteristics of signals in the terahertz band (100GHz to 10THz) located between the millimeter wave band and the infrared band. In particular, terahertz waves have higher spatial resolution than mm-waves. Moreover, they can transmit through various substances such as plastics, fibers and paper, and can detect hazardous substances. Because of these features, interest in terahertz applications such as security screening is rising. However, there is a paucity of low-cost terahertz detectors. The Si-CMOS process technology is low-cost and highly integratable with readout electronics and on-chip signal processors. A key consideration for many of the terahertz-detector technologies is the need for additional process steps to make them compatible with CMOS technologies [1]. Recent antenna-type pixel detectors have shown success in high-speed operation and do not require extra process steps [2]; however, power consumption of each pixel and the sequential read-out architecture offsets the speed advantage. - CMOS Terahertz Imaging Pixel with a Wideband on-Chip Antenna
Y. Kanazawa; E. Sano; S. Yokoyama; P. Ambalathankandy; M. Ikebe; S. Hirmatsu; Y. Takida; H. Minamide
International Conference on Infrared, Millimeter, and Terahertz Waves, IRMMW-THz, 2018-, IEEE Computer Society, 25 Oct. 2018
English, International conference proceedings - Real-time HDTV to 4K and 8K-UHD conversions using anti-aliasing based super resolution algorithm on FPGA
Prasoon Ambalathankandy; Shinya Takamaeda; Motomura Masato; Tetsuya Asai; Masayuki Ikebe; Hotaka Kusano
Microprocessors and Microsystems, 61, 21, 31, Elsevier B.V., 01 Sep. 2018, [Peer-reviewed]
English, Scientific journal - Sparse Disparity Estimation Using Global Phase Only Correlation for Stereo Matching Acceleration
Takeshi Shimada; Masayuki Ikebe; Prasoon Ambalathankandy; Masato Motomura; Tetsuya Asai
2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 1842, 1846, IEEE, Apr. 2018, [Peer-reviewed]
English, International conference proceedings, In this study, we propose an efficient stereo matching method which estimates sparse disparities using global phase only correlation (POC). Conventionally, cost functions are to be calculated for all disparity candidates and the associated computational cost has been impediment in achieving a realtime performance. Therefore, we consider to use full image 2D phase only correlation (FIPOC) for detecting the valid disparities candidates. This would require comparatively fewer calculations for the same number of disparities. Since, the FIPOC output indicates the disparity distribution of two stereo images, we can sort the disparity candidates and choose them for sparse calculation. In our proposed method, the searchable disparity range is half of the input image size, which is much wider than that of the conventional methods. When we apply the FIPOC to naive sum of absolute difference (SAD) stereo matching method, the combined algorithm would require fewer calculations while maintaining the same accuracy. In our evaluation, the proposed method achieves 194 disparity stereo matching in 70 ms on 398×288 images without the need for SIMD instruction, multi-thread operation, or additional hardware while using a Intel Core i5-5257U. - An FPGA implementation of a tone mapping algorithm with a halo-reducing filter
Prasoon Ambalathankandy; Alain Horé; Orly Yadid-Pecht
Journal of Real-Time Image Processing, 16, 4, 1317, 1333, Springer Science and Business Media {LLC}, Sep. 2016, [Peer-reviewed]
English, Scientific journal, In this paper, we present a real-time hardware implementation of an exponent-based tone mapping algorithm of Horé et al., that uses both local and global image information for improving the contrast and increasing the brightness of tone-mapped images. Although there are several tone mapping algorithms available in the literature, most of them require manual tuning of their rendering parameters. However, in our implementation, the algorithm has an embedded automatic key parameter estimation block that controls the brightness of the tone-mapped images. We also present the implementation of a Gaussian-based halo-reducing filter. The hardware implementation is described in Verilog and synthesized for a field programmable gate array device. Experimental results performed on different wide dynamic range images show that we are able to get images which are of good visual quality and have good brightness and contrast. The good performance of our hardware architecture is also confirmed quantitatively with the high peak signal-to-noise ratio and structural similarity index. - Real-time Implementation of An Exponent-based Tone Mapping Algorithm
Prasoon Ambalathankandy
2016, [Peer-reviewed]
English, Master thesis, In this thesis, we present a real-time hardware implementation of an exponent-based tone mapping algorithm of Horé et al. Although there are several tone mapping algorithms available in the literature, most of them require manual tuning of their rendering parameters. However, in our implementation, the algorithm has an embedded automatic key parameter estimation block that controls the brightness of the tone-mapped images. We also present the implementation of a Gaussian-based halo reducing filter. The hardware implementation is described in Verilog and synthesized for a field-programmable gate array (FPGA) device. Experimental results performed on different wide dynamic range (WDR) images show that we are able to get images which are of good visual quality and have good brightness and contrast. The good performance of our hardware architecture is also confirmed quantitatively with the high peak signal-to-noise ratio (PSNR) and structural similarity (SSIM) index. - SCIENTIFIC PROGRESS OF THE MC-PAD NETWORK
J Aguilar; M Heller; J Apostolakis; T Balog; C Schmidt; W Lohmann, J Heuser; G Kramberger; M Tsagri; O Novgorodova; J Dong; R Schön; M Van Beuzekom; S Korpar; M Moll; P Beltrame; J Zhang; S Caiazza; N Pacifico; M Milovanović; M Villa; L Ropelewski; S Rahman; C Pirvutoiu; F Zappon; P Ambalathankandy; M Idzik; M Turala; E Koffeman; J Sibille; R Klanner; R Arora; F Roukoutakis; R Radu; R Verheyden; MI Ahmed; G Bencivenni; L Zawiejski; C Joram; T Behnke; T Rohe; S Miscetti
PH-EP-Tech-Note-2013-004, Jan. 2013, [Peer-reviewed]
MC-PAD is a multi-site Initial Training Network on particle detectors in physics experiments. It comprises nine academic participants, three industrial partners and two associated academic partners. 17 recruited Early Stage and 5 Experienced Researchers have performed their scientific work in the network. The research and development work of MC-PAD is organized in 12 work packages, which focus on a large variety of aspects of particle detector development, electronics as well as simulation and modelling. The network was established in November 2008 and lasted until October 2012 (48 months). This report describes the RD activities and highlights the main results achieved during this period. - Infrastructure for Detector Research and Development towards the International Collider
J Aguilar; H Henschel; F Fehr; M Lupberger; J Fleury; G Eigen; B Lutz; L Musa; FJ Munoz; H Kruger; U Mjornmark; J Kotula; L Raux; P Gross; M Winter; M Schumacher; M Caccia; J Alozy; L Jonsson; F Gastaldi; S Callier; X Janssen; M Reinecke; W Da Silva; M Marcisovsky; A Savoy-Navarro; A Mathieu; LBA Hommels; Y Degerli; R Poschl; P Kodys; J Ninkovich; M Ohlerich; D Dzahini; F Senee; M Lozano; P Mehtaelae; R Shaw Ward; D Calvet; I Vila; Y Yang; JY Hostachy; O Bachynska; Y Bilevych; E Stenlund; V Uzhinskiy; P Aspell; K Oliwa; C Irmler; P Gottlicher; F Dulucq; Ch de la Taille; T Bergauer; I Valin; R Diener; Ch Rosemann; E Kielar; M Goffe; R Orava; P Cornebise; G Pellegrini; T Wu; P Ambalathankandy; D Jeans; F Wicek; K Swientek; S Mannen; J Furletova; E Corrin; M Krammer; A Bonnemaison; G Doziere; M Kohli; I Peric; DS Bailey; S Rummel; N van Remortel; L Reuen; V Ivantchenko; J Smolik; S Kananov; R Zimmermann; E Garutti; A Bulgheroni; L de Nooij; M Gelin; A Charpy; W Lohmann; R Jaramillo; A Karar; G Traversi; IM Gregor; M Faucci Giannelli; C Jauffret; A Kaukher; D Haas; C Clerc; G Trampitsch; R Wurth; JC Vanel; C Muhl; V Boisvert; W Daniluk; P Ghislain; M Dhellot; A Oskarsson; W Wierba; K Gadow; W Wang; P Colas; S Haensel; T Behnke; T Fiutowski; P Sicho; D Imbault; P Wienemann; U Koetz; AF Zarnecki; P Schade; JC Brient; Ch Brezina; G Claus de Masi; M Warren; J Timmermans; V Bartsch; W Lange; M Friedl; HG Moser; J David; A Rouge; D Quirion; A Besson; P Gay; JJ Velthuis; M Pohl; R Volkenborn; I Jikhleb; L Bryngemark; J Bonnard; M Hauschild; M Terwort; T Hung Pham; A Calderone; V Grichine; M Postranecky; L Royer; H Videau; A Kehrli; F Formenti; S Aplin
arXiv: 1201.4657, Jan. 2012, [Peer-reviewed]
Scientific journal, The EUDET-project was launched to create an infrastructure for developing and testing new and advanced detector technologies to be used at a future linear collider. The aim was to make possible experimentation and analysis of data for institutes, which otherwise could not be realized due to lack of resources. The infrastructure comprised an analysis and software network, and instrumentation infrastructures for tracking detectors as well as for calorimetry. - Infrastructure for detector research and development towards the International Linear Collider
J Aguilar; P Ambalathankandy; T Fiutowski; M Idzik; Sz Kulis; D Przyborowski; K Swientek; A Bamberger; M Köhli; M Lupberger; U Renz; M Schumacher; Andreas Zwerger; A Calderone; DG Cussans; HF Heath; S Mandry; RF Page; JJ Velthuis; D Attié; D Calvet; P Colas; X Coppolani; Y Degerli; E Delagnes; M Gelin; I Giomataris; P Lutz; F Orsini; M Rialot; F Senée; W Wang; J Alozy; J Apostolakis; P Aspell; F Bergsma; M Campbell; F Formenti; H Franca Santos; E Garcia Garcia; M de Gaspari; P-A Giudice; Ch Grefe; V Grichine; M Hauschild; V Ivantchenko; A Kehrli; K Kloukinas; L Linssen; X Llopart Cudie; A Marchioro; L Musa; A Ribon; G Trampitsch; V Uzhinskiy; M Anduze; E Beyer; A Bonnemaison; V Boudry; J-C Brient; A Cauchois; C Clerc; R Cornat; M Frotin; F Gastaldi; C Jauffret; D Jeans; A Karar; A Mathieu; P Mora de; Freitas; G Musat; A Rougé; M Ruan; J-C Vanel; H Videau; A Besson; G Claus de Masi; G Doziere; W Dulinski; M Goffe; A Himmi; Ch Hu-Guo; F Morel; I Valin; M Winter; J Bonis; S Callier; P Cornebise; F Dulucq; M Faucci Giannelli; J Fleury; G Guilhem; G Martin-Chassard; Ch de la Taille; R Pöschl; L Raux; N Seguin-Moreau; F Wicek; M Benyamna; J Bonnard
arXiv preprint arXiv:1201.4657, Jan. 2012, [Peer-reviewed]
The EUDET-project was launched to create an infrastructure for developing and testing new and advanced detector technologies to be used at a future linear collider. The aim was to make possible experimentation and analysis of data for institutes, which otherwise could not be realized due to lack of resources. The infrastructure comprised an analysis and software network, and instrumentation infrastructures for tracking detectors as well as for calorimetry. - A slow control interface for ADC ASIC
Prasoon Ambalathankandy; Krzystof Swientek
Proceedings of the 18th FCAL Collaboration Workshop, May 2011, [Peer-reviewed]
International conference proceedings - A power scalable 10-bit pipeline ADC for Luminosity Detector at ILC
M. Idzik; K. Swientek; T. Fiutowski; S. Kulis; P. Ambalathankandy
JOURNAL OF INSTRUMENTATION, 6, 01, P01004, Jan. 2011, [Peer-reviewed]
English, Scientific journal - Forward instrumentation for ILC detectors
H. Abramowicz; A. Abusleme; K. Afanaciev; J. Aguilar; P. Ambalathankandy; P. Bambade; M. Bergholz; I. Bozovic-Jelisavcic; E. Castro; G. Chelkov; C. Coca; W. Daniluk; A. Dragone; L. Dumitru; K. Elsener; I. Emeliantchik; T. Fiutowski; M. Gostkin; C. Grah; G. Grzelak; G. Haller; H. Henschel; A. Ignatenko; M. Idzik; K. Ito; T. Jovin; E. Kielar; J. Kotula; Z. Krumstein; S. Kulis; W. Lange; W. Lohmann; A. Levy; A. Moszczynski; U. Nauenberg; O. Novgorodova; M. Ohlerich; M. Orlande; G. Oleinik; K. Oliwa; A. Olshevski; M. Pandurovic; B. Pawlik; D. Przyborowski; Y. Sato; I. Sadeh; A. Sailer; R. Schmidt; B. Schumm; S. Schuwalow; I. Smiljanic; K. Swientek; Y. Takubo; E. Teodorescu; W. Wierba; H. Yamamoto; L. Zawiejski; J. Zhang
JOURNAL OF INSTRUMENTATION, 5, 12, P12002, Dec. 2010, [Peer-reviewed]
English, Scientific journal - 4 × 4 2-D DCT for H.264/AVC
A. K. Prasoon; K. Rajan
Proceeding ICAC3 '09 Proceedings of the International Conference on Advances in Computing, Communication and Control, 573, 577, Jan. 2009, [Peer-reviewed]
International conference proceedings, With continuous advancement of VLSI technology it has become possible to achieve any desired performance metric, but at a cost of increased system complexity. In this paper we present area optimal integer 2-D DCT architecture for H. 264/AVC codecs. The 2-D DCT calculation is performed by utilizing the separability property, in such a way, 2-D DCT is divided into two 1-D DCT calculation that share a common memory, which considerably reduces the gate count. Due to its area optimized approach the design will find application in hand-held/mobile devices. The transform module has been coded in Verilog hardware description language (HDL) and synthesized in 0.18μ TSMC technology.
- A Sub-Pixel Accurate Quantification of Joint Space Narrowing Progression in Rheumatoid Arthritis (Vol 27, pg 53, 2023)
Yafei Ou; Prasoon Ambalathankandy; Ryunosuke Furuya; Seiya Kawada; Tianyu Zeng; Yujie An; Tamotsu Kamishima; Kenichi Tamura; Masayuki Ikebe, IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 28, 2, 1152, 1154, Feb. 2024
English, Others - Perceptual evaluation of decolorization algorithms to study subjectively appealing color contrast information
Prasoon Ambalathankandy; Yafei Ou; Sae Kaneko; Masayuki Ikebe, PERCEPTION, 51, 108, 109, Dec. 2022
English, Summary international conference - イメージセンサに向けた局所適応型画像処理の開発とその展望—Development of Local Adaptive Image Processing for Image Sensors and Its Prospects—特集 映像情報メディアの発展を支えるイメージセンサ
池辺 将之; Prasoon Ambalathankandy; Ou Yafei, 映像情報メディア学会誌 = The journal of the Institute of Image Information and Television Engineers, 75, 6, 746, 752, Nov. 2021
映像情報メディア学会, Japanese - 32×32画素並列ADC構成によるグローバルシャッタ型CMOSテラヘルツイメージセンサ
池辺将之; 金澤悠里; 横山紗由里; 池上高広; AMBALATHANKANDY Prasoon; 平松正太; 佐野栄一; 瀧田佑馬; 南出泰亜, シンポジウムテラヘルツ科学の最先端講演要旨集, 2019, 2019
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