Restoration of Remote Sensing Images Based on MTF Theory
基于MTF理论的遥感图像复原

Due to the effect of a sensor,atmosphere etc,remote sensing images are degenerated.To improve the quality of remote sensing images, this paper proposes an image restoration approach based on the modulation transfer function(MTF) according to the analysis of the image degeneration theory.Our method mainly includes two parts: denoising and MTF compensation.An effective denoising method on the frequency space is presented according to the characteristics of remote sensing images.An exponent adjusting method of MTF curve is presented to adjust the MTF compensation degree.The experimental results with CBERS images proved that our method is effective to improve the image factors,such as image contrast,entropy etc,so as to compensate degenerated images.