关键词: 图像去噪, 对数图像处理, 人类视觉系统, 噪声可见度函数, 扩散系数

Abstract: Concerning the defects of Logarithmic Image ProcessingTotal Variation (LIP_TV) denoising model, an improved Partial Differential Equation (PDE) image denoising method based on LIP was proposed. Based on LIP mathematic theory, the new LIP gradient operator was obtained by introducing four directional derivatives in the original one, which can control the diffusion process effectively because it measures image information comprehensively and objectively. The fidelity coefficient was constructed by adopting the noise visibility function based on the structure characteristic of human visual system, which can further preserve the edge details and avoid estimating noise level factitiously. The theoretical analysis and experimental results show that the improved method has superiority in the visual effect and objective quality, which can better remove noise and preserve detailed edge features.

Key words: image denoising, Logarithmic Image Processing (LIP), human visual system, noise visibility function, diffusion coefficient