{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,5]],"date-time":"2025-11-05T11:20:10Z","timestamp":1762341610341,"version":"build-2065373602"},"reference-count":39,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2021,1,19]],"date-time":"2021-01-19T00:00:00Z","timestamp":1611014400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>In this paper we present a highly efficient coding procedure, specially designed and dedicated to operate with high dynamic range (HDR) RCCC (red, clear, clear, clear) image sensors used mainly in advanced driver-assistance systems (ADAS) and autonomous driving systems (ADS). The coding procedure can be used for a lossless reduction of data volume under developing and testing of video processing algorithms, e.g., in software in-the-loop (SiL) or hardware in-the-loop (HiL) conditions. Therefore, it was designed to achieve both: the state-of-the-art compression ratios and real-time compression feasibility. In tests we utilized FFV1 lossless codec and proved efficiency of up to 81 fps (frames per second) for compression and 87 fps for decompression performed on a single Intel i7 CPU.<\/jats:p>","DOI":"10.3390\/s21020653","type":"journal-article","created":{"date-parts":[[2021,1,20]],"date-time":"2021-01-20T03:34:25Z","timestamp":1611113665000},"page":"653","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Highly Efficient Lossless Coding for High Dynamic Range Red, Clear, Clear, Clear Image Sensors"],"prefix":"10.3390","volume":"21","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5373-5148","authenticated-orcid":false,"given":"Pawe\u0142","family":"Paw\u0142owski","sequence":"first","affiliation":[{"name":"Division of Signal Processing and Electronic Systems, Institute of Automation and Robotics, Pozna\u0144 University of Technology, Jana Paw\u0142a 24, 60-965 Pozna\u0144, Poland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9329-720X","authenticated-orcid":false,"given":"Karol","family":"Piniarski","sequence":"additional","affiliation":[{"name":"Division of Signal Processing and Electronic Systems, Institute of Automation and Robotics, Pozna\u0144 University of Technology, Jana Paw\u0142a 24, 60-965 Pozna\u0144, Poland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Adam","family":"D\u0105browski","sequence":"additional","affiliation":[{"name":"Division of Signal Processing and Electronic Systems, Institute of Automation and Robotics, Pozna\u0144 University of Technology, Jana Paw\u0142a 24, 60-965 Pozna\u0144, Poland"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2021,1,19]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Awan, F.M., Saleem, Y., Minerva, R., and Crespi, N. 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