Noise Removal in Color Images Based on Image Gradient Information | Zendy

Zhang Rui | Zendy; He Wei | Zendy

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Noise Removal in Color Images Based on Image Gradient Information

Author(s) -

Zhang Rui,

He Wei

Publication year - 2014

Publication title -

advances in mechanical engineering

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.318

H-Index - 40

ISSN - 1687-8132

DOI - 10.1155/2014/213609

Subject(s) - noise (video) , artificial intelligence , computer vision , computer science , colors of noise , color image , image gradient , gradient noise , image (mathematics) , image noise , pattern recognition (psychology) , algorithm , noise reduction , median filter , image processing

We propose a novel noise removal algorithm in color images. First, gradient is extended for color images. On this extended gradient, an algorithm called gradient peer group is used to detect the noise in color images and the peer group averaging algorithm is applied to remove the noise detected. The experiment shows that the proposed algorithm can detect and remove noise in color images effectively. The quality of images after noise removal is better than the ones reconstructed by other algorithms.

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