关键词: 分块式压缩感知, 投影率预分配, 熵估计

Abstract: Block compressed sensing is proposed to reduce computation quantity and storage space on image compressed sensing. There is a large influence on the whole result of reconstruction image to project and observe with the same measurement rate on every image block, because the distribution of image information is uneven, it is very different between blocks on information quantity. Based on these, a idea of measurement rate pre-allocation is proposed to apply to the image compressed sensing. The algorithm calculates every block entropy which stands for the number of information quantity in the pixel plane. Then every block will be allocated a measurement rate which matches its number of information quantity based on the power value, to change adaptively the observation number of every block. Experimental results show that the proposed method can improve the precision of reconstruction in the same measurement rate or reduce the storage space with the less observation number in the same precision of the reconstruction.

Key words: block compressed sensing, measurement rate pre-allocation, entropy estimation