一种图像压缩的自适应变换方法

L. Vandendorpe, B. Maison, F. Labeau
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引用次数: 8

摘要

提出了一种新的变换/子带编码算法。它的原始特征是在编码过程中,变换算子在先前解码的样本的基础上不断更新。与其他基于内容的算法不同,该方法没有数据开销,并且可以很容易地合并到大多数图像压缩方案中。仿真结果表明,该方法在静态图像和视频压缩中具有显著的优势。我们描述并证明了适用于视频压缩的固定大小正交变换的自适应算法,展示了如何将其应用于特定类别的时变滤波器组,从而消除了变换编码的特定缺点,同时保留了连续自适应的优点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An adaptive transform approach for image compression
A new transform/subband coding algorithm is proposed. Its original characteristic is that the transform operator is continuously updated during the encoding process on the base of previously decoded samples. Unlike other content based algorithms, no data overhead is implied and the method can be easily incorporated into most image compression schemes. Simulation results demonstrate that a substantial benefit can be derived from the method in the context of still image and video compression. We describe and justify an adaptation algorithm for fixed size orthogonal transforms suitable for video compression, showing how it can be applied to a particular class of time-varying filter banks, thereby eliminating the specific drawbacks of transform coding, while retaining the advantages of continuous adaptation.
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