本文采用调和修补模型,给出了一种新的图像压缩方案。在图像编码端,采用边缘提取技术,仅对边缘扩展图像进行压缩编码,大大减少了需要编码的信息量。在图像解码端,采用调和修补模型来重建原始图像。通过对大量灰度和彩色图像进行实验,结果表明,该压缩方案能够在较少信息量的情况下得到很好的重建图像。 In this paper, we use a harmonic patching model to give a new image compression scheme. At the image coding end, using the edge extraction technique, only the edge expansion image is compressed and encoded, which greatly reduces the amount of information that needs to be encoded. At the image decoding end, the reconstructed model is used to reconstruct the original image. Experiments on a large number of grayscale and color images show that the proposed compression scheme can reconstruct the image with less information.