Image Enhancement using Dynamic Stochastic Resonance in Discrete wavelet Domain

Many images like medical images, satellite images, Arial images and even life photographs suffer from noise. Image enhancement techniques are used to improve the visual appearance of images by reducing noise from images. In this paper, a dynamic stochastic resonance (DSR) based algorithm is proposed to improve the visual quality by removing noise from digital image. Stochastic resonance (SR) is a phenomenon in which the performance of a system can be improved by addition of noise. In proposed algorithm salt and pepper noise is added in image with different variance. After applying proposed DSR technique, resultant image is enhanced and results are better in terms of Noise Standard Deviation (NSD), Mean Square Difference (MSD) and Signal to Noise Ratio (SNR) when compared with other techniques such as Gaussian low pass filtering, soft thresholding and hard threholding of wavelet coefficient. Index Terms — Image enhancement, DWT, Noise, Dynamic Stochastic Resonance, LPF. ——————————  ——————————