Application of fuzzy sets to calculate the value of soft threshold for image denoising

Fuzzy Logic is a system that nearly represents human activities of thinking and linguistics. Fuzzy logic is very useful in handling uncertainty and is used in various other applications. In this paper, fuzzy logic is used to handle wavelet transformed image statistics which is embedded with Gaussian noise spread variably across the image. Adaptive Multilevel Soft Thresholding of the noisy image was done, which removed noise from almost all types of images. We also display that Fuzzy Logic System (FLS) attains good efficiency. The remodelling of wavelet coefficient proved effective a contemporary in image denoising horizon.