Digital Image Processing

Surat Singh ¹, C. C. Tripathi ²

Affiliations
1 Electronics and Communication, U.I.E.T, Kuk, IN
2 Department of Electronics and Communication Engineering, University Institute of Engineering & Technology (UIET), Kurukshetra University, Kurukshetra, IN

Abstract

In this we propose a new method to reduce noise in digital image. Image corrupted by Gaussian Noise still a classical problem. To reduce the noise or to improve the quality of image compare peak signal to noise ratio (PSNR). Higher the PSNR better the quality of the image. In this paper, we discuss pervious method like VisuShrink, BaseShrink, SureShrink, NeighShrink all these in brief. There we also discuss the advantages and disadvantages of these methods. In this paper we explain the method improved NeighShrink. With the help of discrete wavelet technique we decompose the image in to wavelets. By applying the median filter on the wavelets we get the better results. Experimental results show that our method gives comparatively higher peak signal to noise ratio (PSNR), are much more efficient and have less visual artifacts compared to other methods.

Keywords

Image Denoising, Discrete Wavelets VisuShrink, Bays Shrink, SureShrink, NeighShrink.

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