Curvelet Transform Based Infrared Image Denoising Scheme
The wavelet transform has the defect in the analyzing the edge characteristic of curves or straight lines in two-dimensional image, it doesnt has better approaching accuracy and spare ability of expression. This paper presents a improved threshold image denoising method based on the Curvelet transform, which combines the soft and the hard threshold together, and forms a new threshold function. Results of Experiment to the infrared image and the visible light image show that the method can remove noise and remain edge with good infrared usual effect comparing with the soft and hard threshold denoising algorithm and orthogonal wavelet transform denoising algorithm,and the PSNR is also enhanced extent.
infrared images denoising Curvelet transform threshold denoising
Min Li Yu-jie He Dong Lv Ke-yu Huang
Xian Research Inst.of Hi-Tech 710025 Shaanxi Province,P R C. Xian Research Inst.of Hi-Tcch 710025 Shaanxi Province.P R C.
国际会议
太原
英文
610-613
2011-02-26（万方平台首次上网日期，不代表论文的发表时间）