Visual saliency oriented compressive sensing measurement and reconstruction of images

被引：0
|
作者：
Li R. [1 ,2 ]
Li Y. [1 ]
Cui Z. [2 ]
Zhu X. [2 ]
机构：
[1] School of Computer and Information Technology, Xinyang Normal University, Xinyang, 464000, Henan
[2] Jiangsu Province Key Laboratory of Image Processing and Image Communications, Nanjing University of Posts and Telecommunications, Nanjing
来源：
Huazhong Keji Daxue Xuebao (Ziran Kexue Ban)/Journal of Huazhong University of Science and Technology (Natural Science Edition) | 2016年 / 44卷 / 05期
关键词：
Adaptive measurement; Image compressive sensing; Luminance contrast; Saliency-weighted reconstruction; Visual saliency;
D O I：
10.13245/j.hust.160503
中图分类号：
学科分类号：
摘要：
Luminance contrast was used to compute the saliency value of input all-sampling image, and the adaptive measurement wais realized depending on the saliency value of image block. At the reconstruction side, the saliency value of each block was estimated by using varying block measurement rates, and then these saliency values were used to weight the objective function of reconstruction model in order to enforce the quality improvements of high-saliency blocks. Experimental results indicate that the reconstructed image by the proposed algorithm has a better objective quality when comparing with several traditional ones, and its edge and texture details are better preserved, which guarantees the better subjective visual quality. Besides, the proposed method has a low computational complexity of measurement and reconstruction. © 2016, Editorial Board of Journal of Huazhong University of Science and Technology. All right reserved.
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页码：13 / 18and53
页数：1840
相关论文
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