Dark Image Enhancement using Dynamic Stochastic Resonance

In this paper, contrast enhancement of dark image using Discrete Cosine Transform (DCT) and Discrete Wavelet Transform (DWT) coefficients is proposed. Then the contrast enhancement is obtained by applying Dynamic Stochastic Resonance (DSR).The goal of dark image enhancement is to clearly visualize the features of the image. Two different coefficients DCTand DWT are used for implementing contrast enhancement respectively. One is applying Discrete Cosine Transform (DCT) and the other is applying Discrete Wavelet Transform (DWT) to the input image respectively. Initially DSR is applied to the DCT coefficients\DWT coefficients. Then the DCT coefficients/DWT coefficients are tuned to certain bistable system parameters and though this image is enhanced. In terms of contrast enhancement Factor(F), Color enhancement factor (CEF) and Perceptual quality metric (PQM), the proposed technique using DWT exhibits better performance than the other enhancement techniques such as conventional contrast enhancement techniques and the contrast enhancement technique using DCT.The important applications of dark image enhancement are fingerprint feature extraction and in satellite images.