文献类型：会议论文

英文题名：Blind estimation of blur parameters by 2d-dft on polar coordinate system presented on rectangular grids

作者：Zhang, Peizhen[1,2]; Wang, Shuozhong[2]; Fu, Dongyang[1]

机构：[1] School of Information, Guangdong Ocean University, Zhanjiang, 524088, China; [2] School of Communication and Information Engineering, Shanghai University, Shanghai, 200072, China

会议论文集：Proceedings - 2013 7th International Conference on Image and Graphics, ICIG 2013

会议日期：July 26, 2013 - July 28, 2013

会议地点：Qingdao, Shandong, China

语种：英文

外文关键词：Parameter estimation - Salt and pepper noise - Blind equalization

外文摘要：We propose a blind identification method to estimate blur parameters of a noisy image. The noisy image is blurred and degraded due to linear motion and defocusing. In a polar coordinate system, 2D-Fourier transform of a degraded image is derived. The blur parameters are blindly estimated from the magnitude of the spectrum in the polar system, and represented on a rectangular grid. In this grid representation, vertical and horizontal projections are calculated to estimate the length and the orientation of uniform linear motion blur. As for defocus blur, only horizontal projection is used to get a blurring radius. Experimental results show that the method is accurate and computationally efficient. The estimated results are close to true values, even when the image is heavily contaminated by additive salt and pepper noise. ? 2013 IEEE.