Wolkenstein MG, Hutter H
Institute of Analytical Chemistry, Vienna University of Technology, Getreidemarkt 9/151, 1060 Vienna, Austria
Microsc Microanal. 2000 Jan;6(1):68-75.
This article proposes a lossy three-dimensional (3-D) image compression method for 3-D secondary ion microscopy (SIMS) image sets that uses a separable nonuniform 3-D wavelet transform. A typical 3-D SIMS measurement produces relatively large amounts of data which has to be reduced for archivation purposes. Although it is possible to compress an image set slice by slice, more efficient compression can be achieved by exploring the correlation between slices. Compared to different two-dimensional (2-D) image compression methods, compression ratios of the 3-D wavelet method are about four times higher at a comparable peak signal-to-noise ratio (PSNR).
本文提出了一种用于三维二次离子显微镜（SIMS）图像集的有损三维（3-D）图像压缩方法，该方法使用了可分离的非均匀三维小波变换。典型的三维SIMS测量会产生大量数据，为了存档目的必须对其进行压缩。虽然可以逐片压缩图像集，但通过探索切片之间的相关性可以实现更高效的压缩。与不同的二维（2-D）图像压缩方法相比，在可比的峰值信噪比（PSNR）下，三维小波方法的压缩比大约高四倍。
