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RSS FeedsEntropy, Vol. 23, Pages 1354: A General Rate-Distortion Optimization Method for Block Compressed Sensing of Images (Entropy)

 
 

16 october 2021 13:58:30

 
Entropy, Vol. 23, Pages 1354: A General Rate-Distortion Optimization Method for Block Compressed Sensing of Images (Entropy)
 


Block compressed sensing (BCS) is a promising technology for image sampling and compression for resource-constrained applications, but it needs to balance the sampling rate and quantization bit-depth for a bit-rate constraint. In this paper, we summarize the commonly used CS quantization frameworks into a unified framework, and a new bit-rate model and a model of the optimal bit-depth are proposed for the unified CS framework. The proposed bit-rate model reveals the relationship between the bit-rate, sampling rate, and bit-depth based on the information entropy of generalized Gaussian distribution. The optimal bit-depth model can predict the optimal bit-depth of CS measurements at a given bit-rate. Then, we propose a general algorithm for choosing sampling rate and bit-depth based on the proposed models. Experimental results show that the proposed algorithm achieves near-optimal rate-distortion performance for the uniform quantization framework and predictive quantization framework in BCS.


 
66 viewsCategory: Informatics, Physics
 
Entropy, Vol. 23, Pages 1352: Du Bois–Reymond Type Lemma and Its Application to Dirichlet Problem with the p(t)–Laplacian on a Bounded Time Scale (Entropy)
Entropy, Vol. 23, Pages 1353: Quantum Probes for the Characterization of Nonlinear Media (Entropy)
 
 
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