For the disadvantages of color bilateral noise filtering

this paper presents an integrated approach to address these issues based on edge detection and bilateral filter.First

a new color edge detection algorithm of adaptive partition is derived from cellular neural network (CNN) model.This algorithm inherits the advantage of accurate positioning of CNN gray edge detection

and can deal directly with color images.Next

an edge filter is proposed for image enhancement

which satisfies different stages of denoising through two types of edge detection.On this basis

removing noise of color images uses of the improved bilateral filter.The scope of noise is localized by non-anti-noise edge map to reduce the denoising process and image blur.Average mode of bilateral filter is improved to reduce the weight of noise and the impact of high-frequency noise.Finally

color images are enhanced according to the edge map after filtering.The experimental results show that the proposed approach can effectively reduce the noise while preserving and enhancing edges.