Compression Ratio Prediction for DCT-Based Coder

被引:0
作者
Kozhemiakin, R. [1 ]
Abramov, S. [1 ]
Lukin, V. [1 ]
Djurovic, Blazo [2 ]
Djurovic, Igor [2 ]
机构
[1] Natl Aerosp Univ KhAI, Dept Transmitters Receivers & Signal Proc, Kharkov, Ukraine
[2] Univ Montenegro, Fac Elect Engn, Podgorica, Montenegro
来源
2016 9TH INTERNATIONAL KHARKIV SYMPOSIUM ON PHYSICS AND ENGINEERING OF MICROWAVES, MILLIMETER AND SUBMILLIMETER WAVES (MSMW) | 2016年
关键词
lossy compression; prediction; remote sensing; image; noise;
D O I
暂无
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
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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页数:4
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