Color image processing and applications
Color image processing and applications
Fast bilateral filtering for the display of high-dynamic-range images
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
Bilateral Filtering for Gray and Color Images
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
An impulsive noise color image filter using learning-based color morphological operations
Digital Signal Processing
Restoration of images corrupted by Gaussian and uniform impulsive noise
Pattern Recognition
Mltistage bilateral noise filtering and edge detection for color image enhancement
IEEE Transactions on Consumer Electronics
Directional processing of color images: theory and experimental results
IEEE Transactions on Image Processing
Generalized multichannel image-filtering structures
IEEE Transactions on Image Processing
A robust structure-adaptive hybrid vector filter for color image restoration
IEEE Transactions on Image Processing
Adaptive Bilateral Filter for Sharpness Enhancement and Noise Removal
IEEE Transactions on Image Processing
Multiresolution Bilateral Filtering for Image Denoising
IEEE Transactions on Image Processing
Vector directional filters-a new class of multichannel image processing filters
IEEE Transactions on Image Processing
Multivariate ordering in color image filtering
IEEE Transactions on Circuits and Systems for Video Technology
Color recovery of black-and-white halftoned images via categorized color-embedding look-up tables
Digital Signal Processing
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It is a challenging problem to suppress mixed noise in color images. The traditional bilateral filter can excellently reduce additive noise without destroying image edges and details, but it fails to remove impulsive noise. This paper presents an improved bilateral filtering method, which can simultaneously suppress both impulsive and additive noise. The proposed solution first introduces a new weighting function to the bilateral filtering mechanism, which is experimentally more effective than the traditional Gaussian kernel. Then, either the current pixel or the vector median, instead of always the current pixel itself, is chosen as the base to take part in the bilateral filtering action, which is determined by whether the current pixel is a possible impulse or not. The experimental results show that the proposed solution can simultaneously remove impulsive and additive noise while preserving edge structures, and outperforms other vector filtering methods in terms of both objective evaluation and subjectively visual quality.