Efficient Noise Reduction Method Using Iterative Median Filter for Digital Images
Sakthidasan Sankaran, V. Nagarajan · ITC-CSCC :International Technical Conference on Circuits Systems, Computers and Communications · 2015
Random valued desire noise reduction is one of the most important processes to enhance the quality of digital images. In this paper, we propose an efficient restoration method for the deduction of random-valued impulse noise. On the way to achieve the goal of better rebuilding, we employ a decision-treebased impulse noise detector to identify the corrupted pixels, and an edge-preserving sort out to rebuild the concentration values of corrupted pixels. To improve the quality of the digital images, a median based adaptive concept is used in reduction of random valued impulse noise. The results show that the proposed technique can achieve enhanced performances in terms of both quantitative estimate and image eminence than the prior methods. Furthermore, the performance can be enhanced by iterative median filter methods. For performance analysis the PSNR (dB) value resultant to original and reconstructed image is compared and edge preservation will be proved with edge detection methods.