Efficient natural color image denoising based on guided filter

Image denoising is always an active problem in image processing over the years. Though the principles to gray-scale image denoising have been extensively explored in recent advances. Relatively few works focus on the problem of color image denoising. In this paper, we address the denoising problem for natural color images. We propose a simple yet effective denoising algorithm based on the local color line assumption for natural color images. We further show that the proposed denoising strategy can be easily realized by slight modification to the guided filter. Moreover, the intermediate data in guided filter computation is utilized to make the denoising algorithm highly adaptable to local noise level. Experimental results show that the proposed method is effective to natural color image denoising and comparable to other complex methods with low complexity.