LEADER 02300nam 2200409 450 001 9910734355803321 005 20230815162806.0 035 $a(CKB)5470000002907751 035 $a(NjHacI)995470000002907751 035 $a(EXLCZ)995470000002907751 100 $a20230815d2023 uy 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aAdvances in Image Enhancement /$fedited by Chunwei Tian, Wenqi Ren and Yudong Liang 210 1$a[Place of publication not identified] :$cMDPI - Multidisciplinary Digital Publishing Institute,$d2023. 215 $a1 online resource (330 pages) 311 $a3-0365-7940-0 330 $aIn the era of the Internet of Things, images have played important roles in human-computer interactions, and with the arrival of big data technology, people have higher requirements regarding image quality, especially for images collected in dark light. This can be addressed through the development of camera hardware quality, i.e., the resolution and exposure time of cameras, which may require high computational costs. As an alternative, image enhancement techniques can exact salient features to improve the quality of captured images according to the differences in diverse features, although they suffer from some challenges, i.e., a low contrast, artifacts, and overexposure, thus making it decidedly necessary to determine how to use advanced image enhancement techniques. The topic of advances in the image enhancement of electronics is presented in this reprint, which brings together the research accomplishments of researchers from academia and industry. The secondary goal of this reprint is to display the latest research results of advances in image enhancement. 606 $aComputer engineering 606 $aComputer interfaces 606 $aInternet of things 615 0$aComputer engineering. 615 0$aComputer interfaces. 615 0$aInternet of things. 676 $a621.39 702 $aLiang$b Yudong 702 $aRen$b Wenqi 702 $aTian$b Chunwei 801 0$bNjHacI 801 1$bNjHacl 906 $aBOOK 912 $a9910734355803321 996 $aAdvances in Image Enhancement$93400938 997 $aUNINA