Improvement of linear filter in image denoising
Lingshuai Kong, Hongyan Wen, Lei Guo, Qingtao Wang, Yakun Han · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2015
Image noise is one of important factors that affects quality of image in the process of remote sensing imaging. So. the image de-noising is a basic and key technology in the field of image processing. In this paper, the classical linear filtering, such as arithmetic average filter, harmonic mean filter, and geometric mean filter , are applied to do the image de-noising and the analysis for the characteristics of each de-noising method. The improvement scheme of the linear filtering which based on the mean filtering is proposed by the way of adding the threshold, and the root mean square error (MSE) and peak signal to noise ratio (PSNR) are used on its accuracy evaluation.