Efficient image denoising scheme for removal of impulse noise
Li-Zhong Hou, C.T.K. Kuo, Zhihong Lin, Chu Yu · 2015
In the transmission, digital images often disturbed by various interferences, leading to the image corrupted severely. For the better visual quality and the further use in digital image processing systems, noises must be removed. In this study, the proposed scheme can efficiently remove fixed-valued and random-valued impulse noise sources while preserving image edges. It has better image quality than those of the conventional linear and non-linear filters. The proposed scheme also maintains the edge of the restoration image due to preserving image edge details. Because its procedure is simple, it is suited for real-time applications and hardware implementation.