Research on image complexity evaluation method based on color information

Hao Wang; Jin Duan; Xue-hui Han; Bo Xiao

doi:10.1117/12.2291728

15 November 2017 Research on image complexity evaluation method based on color information

Hao Wang, Jin Duan, Xue-hui Han, Bo Xiao

Proceedings Volume 10605, LIDAR Imaging Detection and Target Recognition 2017; 106051Q (2017) https://doi.org/10.1117/12.2291728
Event: LIDAR Imaging Detection and Target Recognition 2017, 2017, Changchun, China

Abstract

In order to evaluate the complexity of a color image more effectively and find the connection between image complexity and image information, this paper presents a method to compute the complexity of image based on color information.Under the complexity ,the theoretical analysis first divides the complexity from the subjective level, divides into three levels: low complexity, medium complexity and high complexity, and then carries on the image feature extraction, finally establishes the function between the complexity value and the color characteristic model. The experimental results show that this kind of evaluation method can objectively reconstruct the complexity of the image from the image feature research. The experimental results obtained by the method of this paper are in good agreement with the results of human visual perception complexity,Color image complexity has a certain reference value.

Citation Download Citation

Hao Wang, Jin Duan, Xue-hui Han, and Bo Xiao "Research on image complexity evaluation method based on color information", Proc. SPIE 10605, LIDAR Imaging Detection and Target Recognition 2017, 106051Q (15 November 2017); https://doi.org/10.1117/12.2291728

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