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Adaptive Noise Reduction Algorithm for Image Based on Block Approach
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 Title & Authors
Adaptive Noise Reduction Algorithm for Image Based on Block Approach
Kim, Yeong-Hwa;
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 Abstract
Noise reduction is an important issue in the field of image processing because image noise worsens the quality of the input image. The basic difficulty is that the noise and the signal are not easy to distinguish. Simple moothing is one of the most basic and important procedures to remove the noise, however, it does not consider the level of noise. This method effectively reduces the noise but the feature area is simultaneously blurred. This paper considers the block approach to detect noise and image features of the input image so that noise reduction could be adaptively applied. Simulation results show that the proposed algorithm improves the overall quality of the image by removing the noise according to the noise level.
 Keywords
Bartlett test;image processing;noise;noise reduction;orientation;simple smoothing;
 Language
Korean
 Cited by
 References
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