Research on High Noise Color Image Denoising Method in HSI Space

Abstract

In view of the difficulty of noise removal in color images, according to the unique color separation charac-teristics of HSI space, the noise removal of color image polluted by high noise is studied. Firstly, the color image is projected into the HSI of the color feature space, and the color information is separated from the intensity feature information. Then, the color components H and S in the space are processed with a method of distance threshold denoising in polar coordinates, so as to remove the noise without losing the true color. At the same time, multi-scale transformation is carried out on intensity feature component I to obtain the high and low frequency subgraph. According to the frequent noise mutation in the high frequency subgraph, an adaptive gradient threshold denoising method is proposed to remove the noise in the high frequency to improve the image quality. The sparse denoising method is adopted to deal with a small amount of noise in the low-frequency subgraph. Finally, the corresponding inverse transformation is carried out to obtain the final color image. The experimental results show that the method in this paper achieves good denoising effect in vision and objective indexes such as PSNR, RMSE, SSIM and RE.

Keywords

• color image
• hsi space
• non-subsample shearlet transform (nsst)
• denoising method