Journal of Jilin University(Information Science Ed ›› 2016, Vol. 34 ›› Issue (5): 686-691.

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Saliency Detection Based on Transform Domain

WANG Dan 1,2 , ZANG Xuebai 2   

  1. 1. College of Information Technology, Beihua University, Jilin 132013, China;
    2. College of Computer Science and Technology, Jilin University, Changchun 130012, China
  • Received:2016-08-25 Online:2016-09-24 Published:2017-01-16

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

CLC Number: 

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