A New Method for Sharpening Color Images Using Fuzzy Approach
ICIAR '08 Proceedings of the 5th international conference on Image Analysis and Recognition
Color in image and video processing: most recent trends and future research directions
Journal on Image and Video Processing - Color in Image and Video Processing
Information Sciences: an International Journal
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IEEE Transactions on Circuits and Systems for Video Technology
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IEEE Transactions on Image Processing
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IEEE Transactions on Image Processing
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ACIVS'07 Proceedings of the 9th international conference on Advanced concepts for intelligent vision systems
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Image and Vision Computing
Wavelet-based multi-channel image denoising using fuzzy logic
ICISP'10 Proceedings of the 4th international conference on Image and signal processing
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Computers and Electrical Engineering
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Proceedings of the Eighth Indian Conference on Computer Vision, Graphics and Image Processing
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A new fuzzy filter is presented for the reduction of additive noise for digital color images. The filter consists of two subfilters. The first subfilter computes fuzzy distances between the color components of the central pixel and its neighborhood. These distances determine in what degree each component should be corrected. All performed corrections preserve the color component distances. The goal of the second subfilter is to correct the pixels where the color components differences are corrupted so much that they appear as outliers in comparison to their environment. Experimental results show the feasibility of the proposed approach. We compare with other noise reduction methods by numerical measures and visual observations. We also illustrate the performance of the proposed method as preprocessing step for edge detection