A New Perspective of Wavelet Based Image Denoising Using Different Wavelet Thresholding

Tapan Kumar Hazra, Arpita Mazumder, Dipsikha Maity

Abstract: In this paper, the basic principles of digital image processing and image denoising algorithms are summarized. Till now digital image processing has very large scope almost all of the technical domain i. e. image enhancement, image compression, image synthesis, image restoration, image denoising and image analysis. Present paper focuses in the domain of Image denoising. Image denoising is a process of removing noise without affecting and distorting the image and produce a better quality of denoised image. In the present paper, authors observes the effect of various wavelet thresholding methods such as Visushrink, Bayesshrink, Sureshrink and compare all of these with respect to denoised image and introduce a proposed denoising algorithm to determine that it gives better result compare to existing methods.

Keywords: wavelet trsnsform, thresholding, image denoising, Visushrink, Sureshrink, Bayesshrink

How to Cite?: Tapan Kumar Hazra, Arpita Mazumder, Dipsikha Maity, "A New Perspective of Wavelet Based Image Denoising Using Different Wavelet Thresholding", Volume 5 Issue 8, August 2016, International Journal of Science and Research (IJSR), Pages: 1504-1509, https://www.ijsr.net/getabstract.php?paperid=ART20161212, DOI: https://dx.doi.org/10.21275/ART20161212