A novel idea of using median deviation parameter in estimating the noise in the images is proposed and successfully applied to gray level images. The median filter which is very popular in removing the salt and pepper noise from the images has undergone many changes in recent past. To this modified median filter the concept of mean deviation is added and used in estimating and removing the noise. The proposed method is implemented by developing a Graphical User Interface in MATLAB and also implemented using the Spartan 3E Filed Programmable Device. The results are found to be better than earlier methods and also robust in terms of preserving the contrast and fine details of the image even at high noise densities.

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FPGA Implementation of Removal of ImpulseNoise in Images by using MDBUT Technique

Image is a potential standard to convey information. Impulse noise degrades the image during image transmission and acquisition. The most important task of image processing is noise filtering and image enhancement. De-noising the degraded image is an important research region in Image Processing. Many de-noising proposals established which used standard median filter or its alterations to suppress noise. In this analysis paper, different algorithms for exclusion of different impulse noise and their performance over different noise circumstances are discussed. Each and every scheme has its benefits and drawbacks. The relative study assist in detection of most proficient algorithms in terms of edge preservation and noise suppression to restore the original image to the finest potential level. Most of the systems are suitable for some particular noise models, and does not perform effectively on other kind of noise models.

J. Jenifer

Papers

A study on denoising techniques eliminating impulse noise and artifacts