A Comparative Analysis to Determine the Optimum Approach for Image Denoising
KalyanChatterjee1, PrasenjitMaji2, Arka Banerjee3, Debarati Das4, Manisha Gupta5
1Asst.Prof. Kalyan Chatterjee, Computer Science and Engineering, Bengal College Of Engineering and Technology, Durgapur, India.
2Asst. Prof. Prasenjit Maji, Computer Science and Engineering, Bengal College Of Engineering and Technology, Durgapur, India.
3Arka Banerjee, Information Technology ,Bengal College Of Engineering and Technology, Durgapur, India.
4Debarati Das, Information Technology, Bengal College Of Engineering and Technology, Durgapur, India.
5Manisha Gupta, Information Technology, Bengal College Of Engineering and Technology , Durgapur, India.
Manuscript received on August 05, 2013. | Revised Manuscript received on August 11, 2013. | Manuscript published on August 15, 2013. | PP: 64-69 | Volume-1 Issue-9, August 2013. | Retrieval Number: I0421081913/2013©BEIESP
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© The Authors. Published By: 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: Image denoising demands serious attention and is usually the first and foremost step in any image processing application. Erroneous denoised results lead to improper and inaccurate final results. So it is of prime importance to eliminate the noise from the image to the utmost extent..In this paper an analysis is performed for image denoising by imposing different types of noise on the original image,using a choice of wavelet decomposition techniques and also different feasible thresholding techniques to find the optimum denoised result image and also the best combination involved in the process .
Keywords: Image Denoising, Discrete Wavelet Transformation, Wavelet Decomposition, Wavelet Thresholding