Image Denoising using Curvelet Transformation using Log Gabour Filter
Vishal Garg1, Nisha Raheja2
1Assistant Professor Vishal Garg, Department of Computer Science and Engg., JMIT Radaur, Yamunanagar (Haryana), India.
2Scholar Nisha Raheja, Department of Computer Science and Engg., JMIT Radaur, Yamunanagar (Haryana), India.
Manuscript received on 18 June 2012 | Revised Manuscript received on 25 June 2012 | Manuscript published on 30 June 2012 | PP: 137-141 | Volume-1 Issue-2, June 2012 | Retrieval Number: B0215051212/2012©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In this we propose a new method to reduce noise in digital image. Image corrupted by Gaussian Noise is still a classical problem. In images to reduce the noise or to improve the quality of image peak signal to noise ratio (PSNR) is compared . Higher the PSNR better the quality of the image.In this paper we explain the method curvelet Transformation using log gabor filter 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 Curvelet, Log Gabor filter.
Scope of the Article: Image Processing