A New Approach of Blind Image Deconvolution Method without Artifact along the Blurring Paths
Wikky Fawwaz Al Maki, Takuya Shimahashi, T. Kitagawa, S. Sugimoto · Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications · 2008
In this paper, we consider a blind image deconvolution method for linear motion blurred images. Point spread function (PSF) of the linear motion blur has two parameters, i.e., motion length and motion direction. The parameters are estimated using the modified discrete Radon transform and cepstral analysis. The estimated PSF parameters are then used in the image deconvolution process. To restore the blurred images, we first model the 2-D degradation process into 1-D form along the blurring path. Therefore, the new 1-D blurred image model is constructed for each row of the blurred image in the 2-D degradation process. The corresponding PSF matrix is then inverted to get the true image. Finally, experimental results show our proposed idea.