Image Denoising Based on Human Visual Characteristics
摘要：In this paper, we propose a denoising method for color-noise reduction considering human visual characteristics for image noise. Our related work showed that there is an inverse correlation between contrast intensity of object edge signals and visual sensitivity of image noise. Based on the inverse correlation, our new method changes the noise-reduction level pixel-by-pixel in frequency domain using 2-dimensional discrete cosine transform（2 D-DCT）. We also considered the edge orientation of an object and the similarity between a target pixel and its neighboring pixels in determining the noise-reduction level. The evaluation results through image simulation showed that our proposed method is effective in achieving both high resolution and low noise.
2017 International Conference on Advances in Image Processing （ICAIP 2017）