提出将压缩传感理论用于数字全息图的压缩研究.研究了2种不同交换域对全息图稀疏化的影响,针对全息图的特点选取合适的稀疏域,然后根据压缩传感理论直接获取图像的压缩表示,最后利用得到的压缩数据采用2种不同算法重构全息图并对比其重构效果.实验证实这种压缩方法是可行的,并且在傅里叶稀疏域下使用正交匹配追踪(OMP)重构算法能获得1.5％的压缩率.%Hologram is the image that contains the amplitude and phase information of an object, and the compression of hologram is different from the nature image. This paper presents a new theory for digital hologram compression using compressive sensing. A study of the impact of two transform domains to the hologram sparse is first presented, which selects the appropriate transform domain according to the character of hologram, then it directly acquires the compression data of hologram using compressive sensing theory, recovery the hologram using these compression data by two reconstruction algorithms and make a comparison of their construction effects. The main purpose of this paper is to explore the feasibility of the CS framework for hologram compression. The experiments demonstrate that the method proposed is available and it can achieve the compression ratio of 5% when the OMP reconstruction algorithm is used in Fourier transform domain.
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