Color image noise removal by modified adaptive threshold median filter for RVIN

Abstract

In the field of digital image processing impulse noise removal from color images is one of the most challenging tasks for researchers. A Modified Adaptive Threshold Median Filter (MATMF) is presented for impulse noise removal for both low and high-density noise levels. In this paper, we have proposed filter for color image random valued impulse noise reduction. For color images, impulse noise removal there are two main stages, firstly, the detection of the impulse noises on the basis of maximum and minimum value of pixels in a small window. In the second stage removal of noise on the basics median calculation. In the filtering stage, the noise-free pixels remain unchanged in all RGB frames, windows and noisy pixels are restored using a median filter. Experimental results show that proposed method is superior to the conventional methods in Peak Signal Noise Ratio [8] (PSNR) values and Mean Square Error (MSE) of the image performs, with and without noise compared. The mathematical analysis describes that the analysis of the noisy pixels and use of noise-free pixels for the de-noising purpose provide much better results and provides better visual quality of de-noised image and provide good quality in human persecution.