A novel approach for image denoising using dynamic tracking with new threshold technique

During the image acquisition and communication the image is corrupted by noise. This is a classical problem in the field of signal or image processing. In this paper local statistical function is used to find the percentage of noise affected in the noise image. Dynamic denoising algorithm is used simultaneously as a tool for enhancing and tracking image pixel. The pixels are chosen based on the prediction of noise pixels in dynamic tracking. Neighshrink and sure shrink threshold is applied next as a new combination threshold to reduce a noise image in wavelet domain. The PSNR results demonstrated in this paper indicate the many advantages of the proposed dynamic technique using overstate combine Neighshrink and Sureshrink (Neighsureshrink) method.