A noise-exclusive adaptive filtering framework for removing impulse noise in digital images
作者： H. Kong , L. Guan
DOI: 10.1109/82.664255
关键词:
摘要: A class of noise-exclusive adaptive filters for removing impulse noise from digital images is developed and analyzed in this brief. The filtering scheme based on detection using a self-organizing neural network excluding estimation. These suppress effectively while preserving fine image details. Applications the to several show that their properties efficient suppression, edges detail preservation, minimum signal distortion, or mean square error are better than those traditional median-type filters.
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