Chen P.-SChen Y.-LLee Y.-CFu Z.-SCHIA-HSIANG YANG2022-04-252022-04-252021https://www.scopus.com/inward/record.uri?eid=2-s2.0-85124050289&doi=10.1109%2fA-SSCC53895.2021.9634738&partnerID=40&md5=f07624688748e37078260e8cfddc8098https://scholars.lib.ntu.edu.tw/handle/123456789/606982Image deblurring can be applied to mitigate the effect introduced by relative movement between object and camera, as shown in Fig. 1(a). Blind deblurring restores sharp images without knowing the camera motion, but it is also very time consuming. For example, it takes 11.4 minutes to process a full-HD image for [1]. Since the blur kernel estimation occupies 99% of blind deblurring process, a dedicated accelerator that utilizes the prior knowledge of gradients for real-Time deblurring on mobile devices is presented in [2], which reduces the processing time from 11.4 minutes to 1.7 seconds. ? 2021 IEEE.CamerasIntegrated circuitsTiming circuitsBlind deblurringBlur kernel estimationsCamera motionsDark channel priorsDeblurringFull HDImage deblurringPrior-knowledgeReal- timeRelative movementImage enhancementconference paper10.1109/A-SSCC53895.2021.96347382-s2.0-85124050289