Journal of Jilin University(Information Science Ed ›› 2016, Vol. 34 ›› Issue (5): 686-691.
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WANG Dan 1,2 , ZANG Xuebai 2
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Abstract: In order to enhance the reliability and robustness of the image characteristic and increase the accuracy of the image description, the paper proposes a method which using DCT (Discrete Cosine Transform) and Renyi entropy extracts the saliency of natural images, it makes full use of the frequency information. Through the performance test of MSRA1000 image database, the results show that this method has good performance and is better than five classical algorithms on a number of indicators, which can effectively meet the requirements of significant testing.
Key words: discrete cosine transform(DCT), Renyi, transform domain, saliency detection
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WANG Dan, ZANG Xuebai. Saliency Detection Based on Transform Domain[J].Journal of Jilin University(Information Science Ed, 2016, 34(5): 686-691.
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http://xuebao.jlu.edu.cn/xxb/EN/Y2016/V34/I5/686
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