Rapid and brief communication: The solutions of equation-based noise detector for an adaptive median filter

Authors:
Shi-Qiang Yuan;Yong-Hong Tan
Affiliations:
Department of Automation, Shanghai Jiaotong University, Shanghai 200030, China;Laboratory of Intelligent Control, Guilin University of Electronic Technology, Guilin, Guangxi 541004, China
Venue:
Pattern Recognition
Year:
2006

Citing 4
Cited 3

Detail-preserving median based filters in image processing

Pattern Recognition Letters
Fast noise variance estimation

Computer Vision and Image Understanding
A simple neuro-fuzzy impulse detector for efficient blur reduction of impulse noise removal operators for digital images

IEEE Transactions on Fuzzy Systems
Topological median filters

IEEE Transactions on Image Processing

Fuzzy peer groups for reducing mixed Gaussian-impulse noise from color images

IEEE Transactions on Image Processing
Geometric features-based filtering for suppression of impulse noise in color images

IEEE Transactions on Image Processing
Some improvements for image filtering using peer group techniques

Image and Vision Computing

Quantified Score

Hi-index	0.01

Visualization

Abstract

Techniques of noise detection have been widely applied in impulse noise reduction. However, the phenomenon of pixel misclassification is very obvious in high noise density. In order to improve pixel identification, in this paper, the new noise detector is proposed. Based on solutions of equations, an estimated block of every 8x8 block of a noise image is generated. Then, according to relationships between these noise blocks and their estimated blocks, corrupted and uncorrupted pixels are identified. During image filtering, a noise-detection-based adaptive median algorithm is presented. Experimental results show that the proposed filter can well reduce the impulse noise and preserve more details of original images.