The Estimation of Blur Based on Image Information
Blind image deconvolution is required in many applications of microscopy imaging, remote sensing, and astronomical imaging. The primary difficulty with blind image restoration is insufficient information. We propose a novel algorithm in the estimation of blur based on convex optimization theory and image information. How to extract the information from image is discussed in this paper. Finally, the nonblind image restoration is introduced and good performance is observed in the experiments.
Image deblur PSF estimation
Feng Duan Yanning Zhang
Shaanxi Key Laboratory of Speech and Image Information Processing School of Computer Science, Northwestern Polytechnical University Xian, China
国际会议
The Fifth International Conference on Image and Graphics(第五届国际图像图形学学术会议 ICIG 2009)
西安
英文
109-112
2009-09-20(万方平台首次上网日期,不代表论文的发表时间)