A fast efficient restoration algorithm for high-noise image filtering with adaptive approach

Authors:
Shih-Chang Hsia
Affiliations:
Department of Computer and Communication Engineering, National Kaohsiung First University of Science and Technology Kaohsiung, Taiwan, Republic of China
Venue:
Journal of Visual Communication and Image Representation
Year:
2005

Citing 6
Cited 1

A FAST EFFICIENT RESTORATION ALGORITHM FOR HIGH-NOISE-RATIO IMAGE USING FEATURE ADAPTIVE APPROACH

MSE '00 Proceedings of the 2000 International Conference on Microelectronic Systems Education
Modified 2D median filter for impulse noise suppression in a real-time system

IEEE Transactions on Consumer Electronics
Impulse noise correction in TV transmission

IEEE Transactions on Consumer Electronics
An improved recursive median filtering scheme for image processing

IEEE Transactions on Image Processing
A new efficient approach for the removal of impulse noise from highly corrupted images

IEEE Transactions on Image Processing
Fast impulsive noise removal

IEEE Transactions on Image Processing

Restoration of images corrupted by Gaussian and uniform impulsive noise

Pattern Recognition

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Abstract

The video signal is easily interfered by noise over the wireless system. The well-known ''median filter'' and its modified methods could completely remove the impulse noise when the ratio of noise/image is low. However, if the noise ratio becomes high, the filtering performance degrades seriously. In this study, an adaptive algorithm is proposed to reduce the impulse noise for high noise images. To avoid filtering image edges, the noise reduction ability is adaptive according to the image content. The main techniques include the adaptive noise detection and the non-linear low-pass filter. Experimental results show that the proposed method is capable to provide a better picture quality than the median filters and which is faster than alternatives.