论文标题
无损图像编码的软压缩
Soft Compression for Lossless Image Coding
论文作者
论文摘要
软压缩是一种无损图像压缩方法，它致力于通过采用位置和代码书的形状同时消除编码的冗余和空间冗余，从而从信息理论和统计分布的角度来编码图像。在本文中，我们提出了一个关于图像的新概念，可压缩的指示功能，该功能给出了代表位置所需的平均位数的阈值，可用于揭示软压缩的性能。我们使用特定算法和可压缩指示器值研究并分析了二进制图像，灰色图像和多组分图像的软压缩。预计在传输和存储相同类型的图像时所需的带宽和存储空间可以通过应用软压缩大大降低。
Soft compression is a lossless image compression method, which is committed to eliminating coding redundancy and spatial redundancy at the same time by adopting locations and shapes of codebook to encode an image from the perspective of information theory and statistical distribution. In this paper, we propose a new concept, compressible indicator function with regard to image, which gives a threshold about the average number of bits required to represent a location and can be used for revealing the performance of soft compression. We investigate and analyze soft compression for binary image, gray image and multi-component image by using specific algorithms and compressible indicator value. It is expected that the bandwidth and storage space needed when transmitting and storing the same kind of images can be greatly reduced by applying soft compression.
