Image Denoising Using Adaptive Threshold Based on Second Generation Bandelets Transform
Second generation bandelets transform is a new method for image asymptotically optimal approximation based on capturing the geometric content of image. Relative to the first generation bandelets, the second generation is an construction of absolute discretization which can complete the image dissection through multi-scale analysis and geometric direction analysis. Bayes is an ideal estimation method of threshold. This paper perposes a novel denosing method based on second generation bandelets and bayes adaptive threshold, and makes full use of intrinsic geometry characters of image. Experiment on image denoising which the Lena and Barbara image are spliced with different level of gauss white noise shows that: compare to adaptive wavelet method, the algorithm perposed in this paper improves the peak signal-to-nosie ratio.
Image denoising Second generation bandelets transform BayesSkink Multi-scale analysis Geometric direction analysis
Liu Jiaxue Guo Lei
Aeronautical Automation College, Civil Aviation University of China (CAUC), Tianjin 300300, China
国际会议
重庆
英文
444-447
2009-12-25（万方平台首次上网日期，不代表论文的发表时间）