Wavelet based fuzzy perceptual mask for images

One of the characteristics of the Human Visual System (HVS) is to model the sensitivity of the human eye at each coordinate location in the image. This paper explores the use of fuzzy logic for building a non-linear HVS model for perceptual masking in wavelet domain. The fuzzy input variables corresponding to brightness, edge sensitivity, and texture are computed for each wavelet coefficient at different scales in an image. The output of the fuzzy system is a single value which gives a perceptual value for each corresponding wavelet coefficient. This paper proposes a novel method of constructing perceptual mask in wavelet domain using fuzzy logic.