DCT Sgrinkage Function Based Image Deblurring
The paper presents an image deblurring method based on shrinkage functions in DCT domain. Themethod learns directly from example image patches. The functions can be approximated by a polynomialinterpolation. Then least square (LS) technique is used to optimal compute these shrinkage functions in discretecosine transform domain. The shrinkage functions can be applied directly to the other real images. The benefitsof the technique are eliminating the need for complex imaging modeling and statistical image priors. Themethod is the faster than other modeling ones.
Shrinkage Image Debluring Dcitionary
Tong LI, Kai XIE
College of information & mechanical engineering Beijing Institute of Graphic Communication Beijing, China
国内会议
澳门
英文
194-196
2011-07-22（万方平台首次上网日期，不代表论文的发表时间）