Denoising Method for Unknown Image Noise Based on FWT Optimal Order Selection

Abstract:

The optimal fractional order is got for image denoising by 2-D fractional wavelet transform (FWT). But, the actual application environment is complex, and the input image has already been polluted by unknown noise frequently in the process of capture and transmission. And it's impossible to get the optimal fractional order on the basis of the objective evaluation standard in existence. Therefore, in view of the unknown image noise, a method to get the estimated value of optimal fractional order is put forward. Firstly, new objective evaluation standards for image denoising in fractional wavelet domain are defined, and its optimal value is obtained based on noise estimation. Then the optimal estimated fractional order is got. The experiment results show that, the optimal order of 2-D FWT can be selected reasonably by the proposed method and the unknown image noise can be filtered effectively in the estimated optimal fractional wavelet domain.

• Periodical: Advanced Materials Research (Volumes 765-767)
• Pages: 2776-2780
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.765-767.2776
• Online since: September 2013
• Authors: Yuan Yuan Jiang, You Ren Wang, Hui Luo
• Keywords: Fractional Wavelet Transforms, Mage Denoising, Noise Estimate, Optimal Fractional Order

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