Fast adaptive switching technique of impulsive noise removal in color images

In the paper, a family of switching filters designed for the impulsive noise removal in color images is analyzed. The framework of the proposed denoising techniques is based on the concept of cumulated distances between the processed pixel and its neighbors. To increase the filtering efficiency, a r...

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Bibliographic Details
Published in:Journal of real-time image processing 2019-08, Vol.16 (4), p.1077-1098
Main Authors: Malinski, Lukasz, Smolka, Bogdan
Format: Article
Language:English
Subjects:
Algorithms
Color imagery
Computer Graphics
Computer Science
Corruption
Decision making
Design
Efficiency
Fuzzy sets
Image enhancement
Image Processing and Computer Vision
Multimedia Information Systems
Noise reduction
Original Research Paper
Pattern Recognition
Pixels
Signal,Image and Speech Processing
Switching
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Summary:In the paper, a family of switching filters designed for the impulsive noise removal in color images is analyzed. The framework of the proposed denoising techniques is based on the concept of cumulated distances between the processed pixel and its neighbors. To increase the filtering efficiency, a robust scheme, in which the sum of distances to only the most similar pixels of the neighborhood serves as a measure of impulsiveness, was elaborated. As this trimmed measure is dependent on the image local structure, an adaptive mechanism was also incorporated. Additionally, a very fast design, which enables image denoising in practical applications, is proposed and the choice of the filter output, which is used to replace the noisy pixels, is discussed. The described family of filters was evaluated on a large set of natural test images and compared with the state-of-the-art restoration methods. The analysis of the achieved results shows that the novel filters outperform the existing techniques in terms of both denoising accuracy and computational complexity. In this way, the proposed techniques can be recommended for the application in various image and video enhancement tasks.
ISSN:1861-8200
1861-8219
DOI:10.1007/s11554-016-0599-6