Variational adaptive image denoising model based on human visual system
Wenjun Li, Chanjuan Liu, Hailin Zou · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2011
A variational image adaptive denoising model based on human visual system is proposed by introducing control parameter p which can determine the diffusion intensity to Total Variation (TV) model. The model can adaptively select the value of parameter p according to human visual system noise visibility value of each pixel which makes diffusion intensity close to edges smaller than those far away from edges. For this method is more consistent with human perception, human eyes can perceive the improvement of image quality intuitively. Numerical experiments show that the proposed method can overcome staircase effect, remove the noise while preserving significant image details and better performance has been achieved.