{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,14]],"date-time":"2025-10-14T00:44:29Z","timestamp":1760402669121,"version":"build-2065373602"},"reference-count":43,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2020,4,16]],"date-time":"2020-04-16T00:00:00Z","timestamp":1586995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61605175, 61602423"],"award-info":[{"award-number":["61605175, 61602423"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100011447","name":"Science and Technology Department of Henan Province","doi-asserted-by":"publisher","award":["192102210292, 182102110399"],"award-info":[{"award-number":["192102210292, 182102110399"]}],"id":[{"id":"10.13039\/501100011447","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Information"],"abstract":"<jats:p>Camera shaking and object movement can cause the output images to suffer from blurring, noise, and other artifacts, leading to poor image quality and low dynamic range. Raw images contain minimally processed data from the image sensor compared with JPEG images. In this paper, an anti-shake high-dynamic-range imaging method is presented. This method is more robust to camera motion than previous techniques. An algorithm based on information entropy is employed to choose a reference image from the raw image sequence. To further improve the robustness of the proposed method, the Oriented FAST and Rotated BRIEF (ORB) algorithm is adopted to register the inputs, and a simple Laplacian pyramid fusion method is implanted to generate the high-dynamic-range image. Additionally, a large dataset with 435 various exposure image sequences is collected, which includes the corresponding JPEG image sequences to test the effectiveness of the proposed method. The experimental results illustrate that the proposed method achieves better performance in terms of anti-shake ability and preserves more details for real scene images than traditional algorithms. Furthermore, the proposed method is suitable for extreme-exposure image pairs, which can be applied to binocular vision systems to acquire high-quality real scene images, and has a lower algorithm complexity than deep learning-based fusion methods.<\/jats:p>","DOI":"10.3390\/info11040213","type":"journal-article","created":{"date-parts":[[2020,4,16]],"date-time":"2020-04-16T13:01:39Z","timestamp":1587042099000},"page":"213","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Anti-Shake HDR Imaging Using RAW Image Data"],"prefix":"10.3390","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5434-7312","authenticated-orcid":false,"given":"Yan","family":"Liu","sequence":"first","affiliation":[{"name":"School of Computer and Communication Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, China"}]},{"given":"Bingxue","family":"Lv","sequence":"additional","affiliation":[{"name":"School of Computer and Communication Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, China"}]},{"given":"Wei","family":"Huang","sequence":"additional","affiliation":[{"name":"School of Computer and Communication Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, China"}]},{"given":"Baohua","family":"Jin","sequence":"additional","affiliation":[{"name":"School of Computer and Communication Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, China"}]},{"given":"Canlin","family":"Li","sequence":"additional","affiliation":[{"name":"School of Computer and Communication Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, China"}]}],"member":"1968","published-online":{"date-parts":[[2020,4,16]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1915","DOI":"10.3390\/s8031915","article-title":"A dynamic range expansion technique for CMOS image sensors with dual charge storage in a pixel and multiple sampling","volume":"8","author":"Shafie","year":"2008","journal-title":"Sensors"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"9452","DOI":"10.3390\/s91209452","article-title":"Non-linearity in wide dynamic range CMOS image sensors utilizing a partial charge transfer technique","volume":"9","author":"Shafie","year":"2009","journal-title":"Sensors"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"8412","DOI":"10.3390\/s110908412","article-title":"A novel method to increase LinLog CMOS sensors\u2019 performance in high dynamic range scenarios","volume":"11","author":"Navarro","year":"2011","journal-title":"Sensors"},{"key":"ref_4","unstructured":"Agusanto, K., Li, L., Chuangui, Z., and Sing, N.W. 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