A Novel Patch-based Image Denoising Algorithm using Finite Radon Transform for Good Visual

نویسندگان

  • Yun-Xia Liu
  • Wan-Chi Siu
چکیده

Patch-based denoising methods have recently emerged due to its good denoising performance. In this paper, based on analysis of the optimal over-complete patch aggregation, we highlight the importance of a local transform for good image features representation. A finite Radon transform (FRAT) based two-stage over-complete image denoising algorithm is then proposed for obtaining good visual quality of denoised images. Experimental results demonstrate good performance in that the denoised images obtained by the proposed method are less influenced by artifacts.

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تاریخ انتشار 2011