Direct and inverse fuzzy transforms for coding/decoding color images in YUV space

In some previous works the authors showed the advantages in coding and decoding images in the YUV space by using fuzzy relation equations. Indeed the images in the Y band were less compressed than in the U,V bands and a better Peak Signal to Noise Ratio was obtained with respect to that one deduced by coding and decoding the same images in the RGB space. In another foregoing paper we used the fuzzy transform compression method for gray images and we compared the results with those ones obtained by using the fuzzy relation equations and JPEG compression methods: we concluded that the fuzzy transform method produces good results with respect to the fuzzy relation equations method under any compression rate and with respect to the DCT method (used in JPEG) for high compression rates. In this stream of investigations, here we test the fuzzy transform method for coding and decoding color images in the YUV space under high compression rates in the U, V bands. We compare the results with those ones obtained by using the fuzzy transforms and the standard JPEG compression method in the RGB space.