RIA: Noiseless Compression of Grayscale Images

无噪声（或可逆）方法优于有噪声（或 不可逆）的方法来压缩灰度图像， 图像质量至关重要和/或 涉及图像的后处理。 两个重要应用 这些方法的领域是医疗器械的储存和传输。 图像和工业射线照相图像用于无损检测 评价（NDE）。 该研究的主要目的是改善现有的和 开发新的方法，用于灰度图像的无噪声压缩。 先进的震源建模技术和强大的算法 编码技术用于此目的。 预计部分 的新方法将执行30%至40%优于 现有的方法。 图像和数字计算机模拟的广泛统计分析 实验将是实施该项目的主要工具。 在 除了提供新的、改进的方法来压缩 灰度图像，该研究项目也将有助于揭示一些光 在无噪声数据压缩领域的某些重要方面， 整体

Noiseless (or reversible) methods are preferred over noisy (or irreversible) methods for the compression of grayscale images in situations where the quality of the images is critical and/or where postprocessing of the images is involved. Two significant application areas for such methods are in the storage and transmission of medical images and industrial radiographic images used for nondestructive evaluation (NDE). The main objective of the proposed research is to improve existing and develop new methods for the noiseless compression of grayscale images. Sophisticated source modeling techniques and the powerful arithmetic coding technique are used for this purpose. It is expected that some of the new methods to be developed will perform 30% to 40% better than the existing methods. Extensive statistical analyses of images and digital computer simulation experiments will be the primary tools in implementing the project. In addition to providing new, improved methods for the compression of grayscale images, the research project will also help shed some light on certain important aspects of the noiseless data compression area as a whole.