Abstract: To decrease the computational complexity of image deblurring, this paper proposes a new deblurring algorithm. This method divides the original image into several sub-blocks and incorporates the anti-reflective boundary conditions, which overcome the discontinuity of the normal derivative brought about by other boundary conditions. Numerical experiments show that the new developed algorithm, by using proper sub-blocks and width of the bound, outperforms the original one with respect to the time used.

Key words: Anti-Reflective(AR) boundary condition, image restoration, deblurring, sub-block, bound width

摘要： 为降低图像反降晰过程的复杂度，提出一种新的反降晰算法。对图像进行适当的分块，导入合适宽度的防反射边界条件，消除其他类型边界条件导致的法向导数不连续的缺陷。实验结果表明，在与全局反降晰算法信噪比相当的情况下，具有合适分块数目和较小边界宽度的新算法能更有效地减少图像反降晰时间。

关键词: 防反射边界条件, 图像恢复, 反降晰, 分块, 边界宽度

CLC Number: 

• TP391