基于结构相似指数的图像序列压缩

2009 Data Compression Conference Pub Date : 2009-03-16 DOI:10.1109/DCC.2009.28

J. Dahl, Jan Østergaard, T. L. Jensen, S. H. Jensen

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引用次数: 4

摘要

我们考虑使用带过完全字典的l1压缩对图像序列进行有损压缩。作为重建质量的保真度度量，我们结合了最近提出的结构相似性指数度量，我们表明这会导致与传统l1压缩算法非常相似的问题公式。此外，我们还开发了用于多帧图像联合编码的高效大规模算法。

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l1 Compression of Image Sequences Using the Structural Similarity Index Measure

We consider lossy compression of image sequences using l1-compression with overcomplete dictionaries. As a fidelity measure for the reconstruction quality, we incorporate the recently proposed structural similarity index measure, and we show that this leads to problem formulations that are very similar to conventional l1 compression algorithms. In addition, we develop efficient large-scale algorithms used for joint encoding of multiple image frames.

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2009 Data Compression Conference

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