{"title":"Implementation of EMVA 1288 Standard Release 4.0 for Characterization of Image Sensors","authors":"Meg Borek","doi":"10.2352/ei.2023.35.6.iss-347","DOIUrl":"https://doi.org/10.2352/ei.2023.35.6.iss-347","url":null,"abstract":"","PeriodicalId":121190,"journal":{"name":"Imaging Sensors and Systems","volume":"17 6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121103557","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Wide-viewing-zone Light-field Capturing Using Turtleback Convex Reflector","authors":"H. Yano, T. Yendo","doi":"10.2352/j.imagingsci.technol.2022.66.6.060407","DOIUrl":"https://doi.org/10.2352/j.imagingsci.technol.2022.66.6.060407","url":null,"abstract":"","PeriodicalId":121190,"journal":{"name":"Imaging Sensors and Systems","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126854207","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jinjin Gu, Jinan Zhou, Ringo S. W. Chu, Yan Chen, Jiawei Zhang, Xuanye Cheng, Song Zhang, Jimmy S. J. Ren
{"title":"Self-Supervised Intensity-Event Stereo Matching","authors":"Jinjin Gu, Jinan Zhou, Ringo S. W. Chu, Yan Chen, Jiawei Zhang, Xuanye Cheng, Song Zhang, Jimmy S. J. Ren","doi":"10.48550/arXiv.2211.00509","DOIUrl":"https://doi.org/10.48550/arXiv.2211.00509","url":null,"abstract":"Event cameras are novel bio-inspired vision sensors that output pixel-level intensity changes in microsecond accuracy with a high dynamic range and low power consumption. Despite these advantages, event cameras cannot be directly applied to computational imaging tasks due to the inability to obtain high-quality intensity and events simultaneously. This paper aims to connect a standalone event camera and a modern intensity camera so that the applications can take advantage of both two sensors. We establish this connection through a multi-modal stereo matching task. We first convert events to a reconstructed image and extend the existing stereo networks to this multi-modality condition. We propose a self-supervised method to train the multi-modal stereo network without using ground truth disparity data. The structure loss calculated on image gradients is used to enable self-supervised learning on such multi-modal data. Exploiting the internal stereo constraint between views with different modalities, we introduce general stereo loss functions, including disparity cross-consistency loss and internal disparity loss, leading to improved performance and robustness compared to existing approaches. The experiments demonstrate the effectiveness of the proposed method, especially the proposed general stereo loss functions, on both synthetic and real datasets. At last, we shed light on employing the aligned events and intensity images in downstream tasks, e.g., video interpolation application.","PeriodicalId":121190,"journal":{"name":"Imaging Sensors and Systems","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130899778","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Array Camera Image Fusion using Physics-Aware Transformers","authors":"Qian Huang, Ming-Jhe Hu, D. Brady","doi":"10.48550/arXiv.2207.02250","DOIUrl":"https://doi.org/10.48550/arXiv.2207.02250","url":null,"abstract":"We demonstrate a physics-aware transformer for feature-based data fusion from cameras with diverse resolution, color spaces, focal planes, focal lengths, and exposure. We also demonstrate a scalable solution for synthetic training data generation for the transformer using open-source computer graphics software. We demonstrate image synthesis on arrays with diverse spectral responses, instantaneous field of view and frame rate.","PeriodicalId":121190,"journal":{"name":"Imaging Sensors and Systems","volume":"85 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113990513","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Youngil Seo, I. Kim, Jeongguk Lee, Wooseok Choi, S. Song
{"title":"On quantization of convolutional neural networks for image restoration","authors":"Youngil Seo, I. Kim, Jeongguk Lee, Wooseok Choi, S. Song","doi":"10.2352/ei.2022.34.7.iss-183","DOIUrl":"https://doi.org/10.2352/ei.2022.34.7.iss-183","url":null,"abstract":"","PeriodicalId":121190,"journal":{"name":"Imaging Sensors and Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129814191","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Goto, Y. Honda, M. Nanba, Y. Iguchi, T. Saraya, M. Kobayashi, E. Higurashi, Hiroshi Toshiyoshi, T. Hiramoto
{"title":"3-Layer stacked pixel-parallel CMOS image sensors using hybrid bonding of SOI wafers","authors":"M. Goto, Y. Honda, M. Nanba, Y. Iguchi, T. Saraya, M. Kobayashi, E. Higurashi, Hiroshi Toshiyoshi, T. Hiramoto","doi":"10.2352/ei.2022.34.7.iss-258","DOIUrl":"https://doi.org/10.2352/ei.2022.34.7.iss-258","url":null,"abstract":"We report 3-layer stacked pixel-parallel CMOS image sensors developed for the first time. The hybrid bonding of silicon-on-insulator wafers through damascened Au electrodes in a SiO 2 insulator on the front and backside realizes both face-to-face and face-to-back bonding, developing a multi-layer stacked device. A 3-layered pixel circuit is developed to confirm the linear response of 16-bit digital signal output. A prototype sensor with 160 120 pixels successfully captures video images, demonstrating the feasibility of multi-layered sensors of high performance as well as multi-functions including signal processing, memory, and computing for applications such as high-quality video cameras, measurements, recognition, robots, and various IoT devices.","PeriodicalId":121190,"journal":{"name":"Imaging Sensors and Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117167066","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jeongguk Lee, Yunseok Choi, Han-Sol Lee, Eun-sil Heo, Dongpan Lim, Geunyoung Lee, S. Song
{"title":"Under Display Camera Image Recovery through Diffraction Compensation","authors":"Jeongguk Lee, Yunseok Choi, Han-Sol Lee, Eun-sil Heo, Dongpan Lim, Geunyoung Lee, S. Song","doi":"10.2352/issn.2470-1173.2021.7.iss-068","DOIUrl":"https://doi.org/10.2352/issn.2470-1173.2021.7.iss-068","url":null,"abstract":"\u0000 Under Display Camera(UDC) technology is being developed to eliminate camera holes and place cameras behind display panels according to full display trend in mobile phone. However, these camera systems cause attenuation and diffraction as light passes through the panel, which is inevitable\u0000 to deteriorate the camera image. In particular, the deterioration of image quality due to diffraction and flares is serious, in this regard, this paper discusses techniques for restoring it. The diffraction compensation algorithm in this paper is aimed at real-time processing through HW implementation\u0000 in the sensor for preview and video mode, and we've been able to use effective techniques to reduce computation by about 40 percent.\u0000","PeriodicalId":121190,"journal":{"name":"Imaging Sensors and Systems","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114351286","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Seungwook Lee, Seungwon Cha, D. Jang, Mihye Kim, Haewon Lee, Nakyung Lee, Seonok Kim, K. Oh, Daehyung Lee, Seung Ho Hong, H. Lee, Sung-Hun Oh, D. Park, Yitae Kim, JungChak Ahn
{"title":"A Low-Voltage 0.7 µm Pixel with 6000 e- Full-Well Capacity for a Low-Power CMOS Image Sensor","authors":"Seungwook Lee, Seungwon Cha, D. Jang, Mihye Kim, Haewon Lee, Nakyung Lee, Seonok Kim, K. Oh, Daehyung Lee, Seung Ho Hong, H. Lee, Sung-Hun Oh, D. Park, Yitae Kim, JungChak Ahn","doi":"10.2352/issn.2470-1173.2021.7.iss-091","DOIUrl":"https://doi.org/10.2352/issn.2470-1173.2021.7.iss-091","url":null,"abstract":"\u0000 A low-voltage pixel with 0.7 µm pitch was designed for a low-power CMOS image sensor. By reducing a pixel power supply voltage (Vpix), power consumption for pixel was reduced, but full-well capacity (FWC) was also decreased. However, by lowering the conversion gain\u0000 (CG) and applying a negative voltage to the ground (NGND) of the pixel, FWC of 6000 e- was achieved without any degradation of both charge transfer lags and backflow noise. In addition, the signal linearity in the reduced analog-to-digital (ADC) range was improved by optimizing\u0000 the source follower (SF). For dark performances, white spots and dark current worsened by NGND were significantly improved by forcing more negative voltage to the transfer gate (TG) when it was turned off.\u0000","PeriodicalId":121190,"journal":{"name":"Imaging Sensors and Systems","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115697171","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Programmable Liquid Crystal Apertures and Filters for Photographic Lenses","authors":"H. Dietz","doi":"10.2352/issn.2470-1173.2021.7.iss-120","DOIUrl":"https://doi.org/10.2352/issn.2470-1173.2021.7.iss-120","url":null,"abstract":"\u0000 LCDs (Liquid Crystal Displays) have become the ubiquitous low-cost display technology, with full color displays offering good resolution costing less than $10. Although LCD modules generally include either a backlight or a reflective backing, the LC panel itself merely modulates\u0000 light by altering polarization. Thus, it is possible to use a transmissive LC panel as a programmable optical filter, or LCLV (Liquid Crystal Light Valve). This paper explores a variety of potential uses of commodity LC panels, including color panels, to implement programmable apertures and\u0000 filters for camera lenses.\u0000","PeriodicalId":121190,"journal":{"name":"Imaging Sensors and Systems","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127679177","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yu‐Chi Chang, Cheng-Hsuan Lin, Zong-Ru Tu, Jing-Hua Lee, Sheng Chuan Cheng, Ching-Chiang Wu, Ken Wu, H. Tsai
{"title":"0.8 um Color Pixels with Wave-Guiding Structures for Low Optical Crosstalk Image Sensors","authors":"Yu‐Chi Chang, Cheng-Hsuan Lin, Zong-Ru Tu, Jing-Hua Lee, Sheng Chuan Cheng, Ching-Chiang Wu, Ken Wu, H. Tsai","doi":"10.2352/issn.2470-1173.2021.7.iss-093","DOIUrl":"https://doi.org/10.2352/issn.2470-1173.2021.7.iss-093","url":null,"abstract":"\u0000 Low optical-crosstalk color pixel scheme with wave-guiding structures is demonstrated in a high resolution CMOS image sensor with a 0.8um pixel pitch. The high and low refractive index configuration provides a good confinement of light waves in different color channels in a quad\u0000 Bayer color filter array. The measurement result of this back-side illuminated (BSI) device exhibits a significant lower color crosstalk with enhanced SNR performance, while the better angular response and higher angular selectivity of phase detection pixels also show the suitability to a\u0000 new generation of small pixels for CMOS image sensors.\u0000","PeriodicalId":121190,"journal":{"name":"Imaging Sensors and Systems","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125392346","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}