Measurement Coding Framework with Adjacent Pixels Based Measurement Matrix for Compressively Sensed Images

Abstract

To further compress measurements, the output of block-based compressed sensing, this work presents a measurement coding framework using measurement-domain intra prediction. In the framework, a deterministic measurement matrix based on the correlation of adjacent pixels (APMM) is proposed to embed the pixel-domain boundary information of each block to the measurement domain. By adopting APMM, the pixel-domain information can be efficiently used for measurement-domain intra prediction. To avoid the interference of pixels that are far apart and achieve a high prediction accuracy, we employ boundary measurements of neighboring blocks as reference for prediction. Finally, the residuals between measurements and predictions are processed by quantization and Huffman coding to generate a coded bit sequence for transmitting. Compared to the state-of-the-art, this work achieves a 24% decrease in bitrate and a 1.68dB increase in PSNR on average.