536 research outputs found
Spatially Directional Predictive Coding for Block-based Compressive Sensing of Natural Images
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.Comment: 5 pages, 3 tables, 3 figures, published at IEEE International
Conference on Image Processing (ICIP) 2013 Code Avaiable:
http://idm.pku.edu.cn/staff/zhangjian/SDPC
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