Autor:	Jose, Arun, Francis, Abraham
Rok vydání:	2021
Předmět:	Electrical Engineering and Systems Science - Image and Video Processing Computer Science - Computer Vision and Pattern Recognition
Druh dokumentu:	Working Paper
Popis:	Image compression using colour densities is historically impractical to decompress losslessly. We examine the use of conditional generative adversarial networks in making this transformation more feasible, through learning a mapping between the images and a loss function to train on. We show that this method is effective at producing visually lossless generations, indicating that efficient colour compression is viable. Comment: 7 pages, 2 figures
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2106.10542 Zobrazit plný text záznamu View this record from Arxiv