Abstract:

Due to the problem that traditional algorithms would be easy to ignore the texture of the image while image denoising, a new image denoising algorithm based on global adaptive fractional integral is proposed, which preserves image texture information while removes the noises of image. Secondly, the image enhancement and denoising algorithm based on adaptive fractional differential and integral using small probability strategy is proposed for low intensity salt and pepper noise image. The appearance of salt and pepper noise points is regarded as a small probability event, and the adaptive fractional integral algorithm is used to process the image’s noises while the adaptive fractional differential algorithm is used to enhance the texture of the image. Experimental results show that both the two presented methods have good image denoising effect, and the second algorithm has better effect than other methods on enhancing the image edges.