Pixon-based image denoising with Markov random fields

Qing Lu; Tianzi Jiang

doi:10.1016/s0031-3203(00)00125-4

ScienceGate Book Chapters

JOURNAL ARTICLE

Pixon-based image denoising with Markov random fields

Qing Lu Tianzi Jiang

Year: 2001 Journal: Pattern Recognition Vol: 34 (10)Pages: 2029-2039 Publisher: Elsevier BV

DOI: 10.1016/s0031-3203(00)00125-4

Get Full-Text PDF Get Analytical Report

Keywords:

Noise reduction Image restoration Markov random field Artificial intelligence Computer science Preprocessor Non-local means Image (mathematics) Image processing Noise (video) Computer vision Classification of discontinuities Image denoising Pattern recognition (psychology) Algorithm Mathematics Image segmentation

Metrics

Cited By

0.69

FWCI (Field Weighted Citation Impact)

Refs

0.73

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Image and Signal Denoising Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Medical Image Segmentation Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Image Fusion Techniques

Physical Sciences → Engineering → Media Technology

Pixon-based image denoising with Markov random fields

Metrics

Citation History

Topics

Related Documents

Pixon-based image segmentation with markov random fields

A novel pixon-representation for image segmentation based on Markov random field

Image denoising based on hierarchical Markov random field

Image Denoising with Wavelet Markov Fields of Experts

Pixon Based Image Denoising Scheme by Preserving Exact Edge Locations