Image compression and reconstruction are a hot Copic in image processing.This paper presents a new reconstruction method based on block.The new method firstly divides the image into the same blocks according to a certain rule. Then it applies the SL0 algorithm to every block, which is reconstructed successively.Finally,we scrape up the whole from blocks.The size of the block can affect the time and quality of the reconstruction image.If the size of the block is too small that blocking artifacts do harm to the quality of the reconstruction image.In this paper,the Wiener filtering is employed to improve the quality of the reconstruction image which has many small blocks.The simulation results show that the method has the advantages of the reconstruction time and the compression quality.%图像的压缩重建是当前图像处理中的研究热点，本文提出了一种基于分块压缩的重建方法，该方法首先将图像分成尺寸相同的图像块，在一定的压缩比下各块独自完成 SL0重建，最后将各图像块的重建结果拼接成整幅图像。图像块的尺寸与整幅图像的重建时间和质量有密切关系。块尺寸大，重建时间长；块尺寸小，块效应影响图像质量。文中对由尺寸较小图像块组成的重建图像进行维纳滤波，消弱了块效应并提高了图像视觉效果。仿真实验结果显示该方法具有重建时间短和压缩质量高的优势。
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