0497453 20240903170640.620181203235959.9 85064214075 000455560300007 10.14736/kyb-2018-5-0978 13 s. cav_un_epca*02971630023-5954545 (2018)978-990Ústav teorie informace a automatizace AV ČR, v. v. i. contrast measures image enhancement enhancement quality measures medical image enhancement cav_un_auth*0286710 Remeš Václav UTIA-B Rozpoznávání obrazu Department of Pattern Recognition RO RO Department of Pattern Recognition Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0101093 Haindl Michal UTIA-B Rozpoznávání obrazu Department of Pattern Recognition RO RO Department of Pattern Recognition Ústav teorie informace a automatizace AV ČR, v. v. i. http://library.utia.cas.cz/separaty/2018/RO/remes-0497453.pdf A survey of local image contrast measures is presented, and a new contrast measure for measuring the local contrast of regions of interest is proposed. The measures validation is based on the gradual objective contrast decreasing on medical test images in both grayscale and color. The performance of the eleven most frequented contrast measures is mutually compared, and their robustness to different types of image degradation is analyzed. Since the contrast measures can be both global, regional and local pixelwise, a simple way of adapting the contrast measures for regions of interest is proposed. WOS BD 20000 20200 20202 2019 2 4 A hod 4ah 20231122143626.3 RVO:67985556 http://hdl.handle.net/11104/0290645 1 Department of Pattern Recognition UTIA-B 10201 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE S 4749 3+4 Article Computer Science Cybernetics COMPUTERSCIENCE.CYBERNETICS 0.591 0.155 13 0.00068 0.174 891 0.268 0.500 71 Q4 15.991 6.5 Q4 Q3 0.17 Q4 6.522 2018 Soubory v repozitáři: remes-0497453.pdf 85064214075 SCOPUS PUBMED 000455560300007 WOS cav_un_epca*0297163 Kybernetika 0023-5954 Roč. 54 č. 5 2018 978 990 Ústav teorie informace a automatizace AV ČR, v. v. i.