{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,20]],"date-time":"2026-06-20T04:21:52Z","timestamp":1781929312555,"version":"3.54.5"},"reference-count":33,"publisher":"MDPI AG","issue":"21","license":[{"start":{"date-parts":[[2023,10,31]],"date-time":"2023-10-31T00:00:00Z","timestamp":1698710400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"National Defense Science and Technology Foundation Strengthening Plan","award":["2021-JCJQ-JJ-1020"],"award-info":[{"award-number":["2021-JCJQ-JJ-1020"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Real-time compression of images with a high dynamic range into those with a low dynamic range while preserving the maximum amount of detail is still a critical technology in infrared image processing. We propose a dynamic range compression and enhancement algorithm for infrared images with local optimal contrast (DRCE-LOC). The algorithm has four steps. The first involves blocking the original image to determine the optimal stretching coefficient by using the information of the local block. In the second, the algorithm combines the original image with a low-pass filter to create the background and detailed layers, compressing the background layer with a dynamic range of adaptive gain, and enhancing the detailed layer for the visual characteristics of the human eye. Third, the original image was used as input, the compressed background layer was used as a brightness-guided image, and the local optimal stretching coefficient was used for dynamic range compression. Fourth, an 8-bit image was created (from typical 14-bit input) by merging the enhanced details and the compressed background. Implemented on FPGA, it used 2.2554 Mb of Block RAM, five dividers, and a root calculator with a total image delay of 0.018 s. The study analyzed mainstream algorithms in various scenarios (rich scenes, small targets, and indoor scenes), confirming the proposed algorithm\u2019s superiority in real-time processing, resource utilization, preservation of the image\u2019s details, and visual effects.<\/jats:p>","DOI":"10.3390\/s23218860","type":"journal-article","created":{"date-parts":[[2023,10,31]],"date-time":"2023-10-31T12:53:32Z","timestamp":1698756812000},"page":"8860","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["A Low-Delay Dynamic Range Compression and Contrast Enhancement Algorithm Based on an Uncooled Infrared Sensor with Local Optimal Contrast"],"prefix":"10.3390","volume":"23","author":[{"given":"Youpan","family":"Zhu","sequence":"first","affiliation":[{"name":"School of Optics and Photonics, Beijing Institute of Technology, 5 South Zhongguancun Street, Haidian District, Beijing 100081, China"},{"name":"Kunming Institute of Physics, No. 31, Jiaochang East Road, Wuhua District, Kunming 650221, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yongkang","family":"Zhou","sequence":"additional","affiliation":[{"name":"Kunming Institute of Physics, No. 31, Jiaochang East Road, Wuhua District, Kunming 650221, China"},{"name":"School of Life Science, Beijing Institute of Technology, 5 South Zhongguancun Street, Haidian District, Beijing 100081, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Weiqi","family":"Jin","sequence":"additional","affiliation":[{"name":"School of Optics and Photonics, Beijing Institute of Technology, 5 South Zhongguancun Street, Haidian District, Beijing 100081, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Li","family":"Zhang","sequence":"additional","affiliation":[{"name":"Kunming Institute of Physics, No. 31, Jiaochang East Road, Wuhua District, Kunming 650221, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Guanlin","family":"Wu","sequence":"additional","affiliation":[{"name":"School of Optics and Photonics, Beijing Institute of Technology, 5 South Zhongguancun Street, Haidian District, Beijing 100081, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8721-9755","authenticated-orcid":false,"given":"Yiping","family":"Shao","sequence":"additional","affiliation":[{"name":"College of Mechanical Engineering, Zhejiang University of Technology, Hangzhou 310023, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2023,10,31]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Jamrozik, W., G\u00f3rka, J., and Batalha, G.F. 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