A Novel Patch-based Image Denoising Algorithm using Finite Radon Transform for Good Visual Quality
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.
Yun-Xia Liu Ngai-Fong Law Wan-Chi Siu
The Hong Kong Polytechnic University, Kowloon, Hong Kong
国际会议
2011亚太信号与信息处理协会年度峰会(APSIPAASC 2011)
西安
英文
1-5
2011-10-18（万方平台首次上网日期，不代表论文的发表时间）