An Image Denoising Framework based on Patch Grouping in Complex Wavelet Domain

In the Multimedia communication, more number of digital images are transferred from one end to another. During the channel some noise can interfere and degrade the image. Hence the removal of noise is given much attention towards research community. This method addressed a denoising technique with the support of DT-CWT also patch combination. This approach gives the direction of decomposition under DT-CWT. Patch group is enabled to protect the corner frequencies effectively, through the known spreading of noise over a image. Euclidian distance is utilized to formulate the patches in to clusters, further it is processed for denoising through adaptive wavelet thresholding. The denoised image could be received by imposing inverse transformation. The simulation results indicate that our algorithm withstands for various noises, also gives the better PSNR and SSIM. The simulation result exposed the exceptional presentation of the projected method each within the maintenance of essential features also quality improvisation.