Abstract: This paper proposes a method of digital literature image compression based on sparsity and synchronization. The image basic functions are extracted based on the sparsity of animals’ vision system. Aiming at the response coefficients, the basic functions are selected by using synchronization, and the digital literature image compression is accomplished. Experimental results demonstrate that this method has high compression rate, can compress other digital literature images by using a few samples, and has satisfactory compression effect.

Key words: digital literature image, image compression, sparsity, synchronization, basic function

摘要： 提出基于稀疏性与同步性的数字文献图像压缩方法。基于动物视觉系统的稀疏性，提取图像基函数。针对响应系数，利用同步性对基函数进行筛选，完成对数字文献图像的压缩。实验结果表明，该方法具有较高压缩比，能通过少量样本实现对其他数字文献图像的压缩，且压缩效果理想。

关键词: 数字文献图像, 图像压缩, 稀疏性, 同步性, 基函数

CLC Number: 

• TP391