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arXiv · 1404.7211

Spatially Directional Predictive Coding for Block-based Compressive Sensing of Natural Images

Jian Zhang·Debin Zhao·Feng Jiang
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Abstract

A novel coding strategy for block-based compressive sens-ing named spatially directional predictive coding (SDPC) is proposed, which efficiently utilizes the intrinsic spatial cor-relation of natural images. At the encoder, for each block of compressive sensing (CS) measurements, the optimal pre-diction is selected from a set of prediction candidates that are generated by four designed directional predictive modes. Then, the resulting residual is processed by scalar quantiza-tion (SQ). At the decoder, the same prediction is added onto the de-quantized residuals to produce the quantized CS measurements, which is exploited for CS reconstruction. Experimental results substantiate significant improvements achieved by SDPC-plus-SQ in rate distortion performance as compared with SQ alone and DPCM-plus-SQ.

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Jian Zhang, Debin Zhao, Feng Jiang. 2014-04-29. Spatially Directional Predictive Coding for Block-based Compressive Sensing of Natural Images. https://doi.org/10.1109/icip.2013.6738211

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