A modified NAS-RIF blind image restoration algorithm for noisy binary images
Xue Mei, Yang Luxi, Zou Cairong, Zhenya He · 2003
The NAS-RIF algorithm for blind image deconvolution proposed by D. Kunder and D. Hatzinakos [1996] can obtain good image estimates when free of noise, but it can't get satisfactory result in the presence of noise. Because of this, Michael K.Ng, et al. [2000] presented NAS-RRIF algorithm, which mainly regularizes the inverse filter to avoid the excess amplification of noise. However, NAS-RRIF algorithm doesn't improve the result greatly. Blind restoration of binary images is also important, so we combine more a priori information of a binary image with NAS-RIF algorithm and propose a modified NAS-RIF algorithm for noisy binary images. This algorithm also considers the situation when the background is not black and overcomes the scale problem of NAS-RIF algorithm.