A lossless 2-D image compression technique for synthetic discrete-tone images

J. M. Gilbert, R. Brodersen
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引用次数: 19

Abstract

A new image compression technique, flexible automatic block decomposition (FABD), losslessly compresses typical discrete-tone pseudo-color images 1.5 to 5.5 times more compactly than GIF, and up to twice as compactly as JBIG. The algorithm is designed to exploit the two-dimensional redundancy in an image by expressing the image in terms of itself. Several optimizations allow the algorithm to complete in a matter of seconds on a 100 MIPS processor. Decompression is fast and simple, as is required in a Web browsing environment. Entropy coding techniques result in a coding rate of typically 0.03 bpp-0.20 bpp.
一种用于合成离散色调图像的二维无损图像压缩技术
一种新的图像压缩技术,灵活的自动块分解(FABD),可以无损地压缩典型的离散色调伪彩色图像,压缩速度是GIF的1.5到5.5倍,是JBIG的两倍。该算法通过用图像本身表示图像来利用图像中的二维冗余。几个优化允许算法在100 MIPS处理器上几秒钟内完成。解压缩既快速又简单,这是Web浏览环境所要求的。熵编码技术的编码率通常为0.03 bpp-0.20 bpp。
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