Compression ratio prediction for DCT-based coder

R. Kozhemiakin, S. Abramov, V. Lukin, Blaao Djurovic, I. Djurović
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引用次数: 3

Abstract

The paper deals with considering a problem typical for lossy compression of remote sensing images. While compressing an image under interest by DCT-based coders which are rather efficient it is desirable to predict what CR will be attained for a given quantization step. We show that such prediction is possible and it can be done easily, quickly, and quite accurately. Moreover, prediction can be done for practically noise-free images and images corrupted by unknown type of noise with unknown characteristics. Influence of noise type and image properties is briefly studied.
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基于dct编码器的压缩比预测
本文研究了遥感图像有损压缩的一个典型问题。当基于dct的编码器压缩图像时,它是相当有效的,需要预测在给定的量化步骤中将获得什么CR。我们证明这样的预测是可能的,它可以很容易、快速和相当准确地完成。此外,对于几乎没有噪声的图像和被未知特征的未知类型噪声破坏的图像,可以进行预测。简要研究了噪声类型和图像特性的影响。
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