Abstract: The propagation of digital media images is widely used in daily life. At present, the fuzzy image de duplication method still has the problems of unclear image and low quality after processing. In order to solve the problems, an adaptive fuzzy de duplication algorithm for digital media images based on wavelet domain is proposed. Firstly, the digital media image is denoised by wavelet domain method. Secondly, the digital media image is divided into protected area and unprotected area by using the method of gradually labeling significant area, in which the protected area is the significant area. Finally, the image is processed by significance regularization, and the image adaptive fuzzy de duplication algorithm is completed. The experimental results show that the image noise is low, the image quality is high, the image information is rich, and the definition is good. 

Key words:  digital media image, wavelet domain, denoising, image segmentation, adaptive blurring and deduplication