A Hybrid BiLateral Filter for Image Enhancement

Authors(3) :-Ramanpreet Kaur, Sharanjit Singh, Amardeep Singh

To remove the various types of noises that are either added in the image during capturing process or introduced into the image during transmission process, different types of Image Enhancement or noise reduction processes are applied. A good noise reduction method can reduce the noise level as well as preserve details of the image. This paper deals with removing the noise modeled with either a Gaussian or salt & pepper noise simultaneously from the images. The hybrid bilateral filter proposed by me is combination of bilateral filter and alpha trimmed filter. The hybrid bilateral filter is proven to perform better than or at least equal to the traditional bilateral filter. A image containing various degrees of Gaussian, salt & pepper, and mixed noise were used to evaluate the performance of this new denoising method. It is observed that the hybrid bilateral filter performed better than existing bilateral filter in both visual image quality and restored signal quantity.

Authors and Affiliations

Ramanpreet Kaur
Department of Computer Science and Engineering, Guru Nanak Dev University (G.N.D.U.) Amritsar, Punjab, India
Sharanjit Singh
Department of Computer Science and Engineering, Guru Nanak Dev University (G.N.D.U.) Amritsar, Punjab, India
Amardeep Singh
Department of Computer Science and Engineering, Guru Nanak Dev University (G.N.D.U.) Amritsar, Punjab, India

Impulse Noise; Gaussian Noise; Image Denoise ; PSNR;

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Publication Details

Published in : Volume 2 | Issue 4 | July-August 2016
Date of Publication : 2016-08-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 143-147
Manuscript Number : IJSRSET162427
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

Ramanpreet Kaur, Sharanjit Singh, Amardeep Singh, " A Hybrid BiLateral Filter for Image Enhancement, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 2, Issue 4, pp.143-147, July-August-2016.
Journal URL : http://ijsrset.com/IJSRSET162427

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