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 indegrading of image quality. In this paper, a novel technique ispresented for detecting and removing of impulse noise, while thesignificant information of image, such as edges and texture, areremind untouched. The proposed algorithm use the weightedwindow with variable sizes and apply median filtering on them.Simulation results, with various images and noise intensities, showthat the proposed algorithm has better performance compared withstate of the art methods and increases the PSNR value (of thereconstructed image) up to 4dBs

Keywords:

Noise removal , Impulse noise detector , Image enhancement ,