RD-OPT:优化DCT量化表的有效算法

Viresh Ratnakar, M. Livny
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引用次数: 50

摘要

离散余弦变换(DCT)广泛应用于有损图像和视频压缩方案,如JPEG和MPEG。在本文中,我们描述了RD-OPT,一种有效的算法,用于构造具有最佳率失真折衷的DCT量化表。该算法以一种新颖的方式使用DCT系数分布统计,并使用动态规划策略在大范围的速率和畸变下生成最优量化表。它可以用来压缩图像在任何期望的信噪比或压缩大小。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
RD-OPT: an efficient algorithm for optimizing DCT quantization tables
The Discrete Cosine Transform (DCT) is widely used in lossy image and video compression schemes such as JPEG and MPEG. In this paper we describe RD-OPT, an efficient algorithm for constructing DCT quantization tables with optimal rate-distortion tradeoffs for a given image. The algorithm uses DCT coefficient distribution statistics in a novel way and uses a dynamic programming strategy to produce optimal quantization tables over a wide range of rates and distortions. It can be used to compress images at any desired signal-to-noise ratio or compressed size.
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