Niv R, Shimoni Y
Elscint, Ltd., Haifa, Israel.
Med Phys. 1988 Mar-Apr;15(2):193-8. doi: 10.1118/1.596272.
Images obtained by digital fluorography were checked for compressability. These images include images of coronary vessels and images of peripheral vessels. These images have a very low signal-to-noise ratio compared to the optical images usually used for developing compression methods. Configurational entropy was used to represent the information content of these images. Reversible prediction algorithms were extensively checked in a search for minimal residual information, enabling more efficient reversible compression. Optimal results were obtained for algorithms based on two or three neighboring pixels and a semiempirical rule, based on the noise level, was found which decides on the best approach. It was found that raw data images are more predictable than subtracted images although the latter are visually preferred.
对通过数字荧光成像获得的图像进行了可压缩性检查。这些图像包括冠状动脉血管图像和外周血管图像。与通常用于开发压缩方法的光学图像相比，这些图像的信噪比非常低。使用构型熵来表示这些图像的信息内容。为了寻找最小残余信息，对可逆预测算法进行了广泛检查，从而实现更高效的可逆压缩。对于基于两个或三个相邻像素的算法获得了最佳结果，并且发现了基于噪声水平的半经验规则，该规则决定了最佳方法。结果发现，原始数据图像比相减图像更具可预测性，尽管后者在视觉上更受青睐。
