Removal of high density impulse noise using a novel decision based adaptive weighted and trimmed median filter

Impulse noise is one of the most important factors in degrading of image quality. In this paper, a novel technique is presented for detecting and removing of impulse noise, while the significant information of image, such as edges and texture, are remind untouched. The proposed algorithm use the weighted window with variable sizes and apply median filtering on them. Simulation results, with various images and noise intensities, show that the proposed algorithm has better performance compared with state of the art methods and increases the PSNR value (of the reconstructed image) up to 4dBs.