Contrast Enhancement and Foreground Image Sharpening using Dynamic Stochastic Resonance

In this paper we enhanced poor illuminated low contrast image and sharpen the foreground part using stochastic resonance (SR). Noise generally hinders communication system. But by using SR image, performance is improved by adding noise. At an optimum noise level SNR performance become appreciable. Literally this pixel dynamics concepts adopts particle mechanics following Benzi’sbistable model. Feature is extracted from the foreground content of the image. DSR is a spatial domain approach. DSR is iteratively applied on the modified Value matrix of the transformed HSV image of the original image and the modified value matrix is obtained from the extracted feature of the input image. Optimum output is obtained by computing performance matrices like Relative Perceptual Quality Metric (PQM), Relative Contrast Enhancement Factor (F), Colour enhancement factor (CEF). This technique significant improves contrast, sharpening, colour and perceptual quality.