Complementary retrieval for distorted im
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Chun-Jiun Liao; Shu-Yuan Chen
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Article
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2002
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Elsevier Science
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English
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In today's computer networks, the amount of digital images increases rapidly and enormously. However, images may be distorted through di erent types of processing such as histogram equalization, quantization, smoothing, compression, noise corruption, geometric transformation, and changing of illumin