Lossless compression of CCD sensor data

被引：0

作者：

Schaefer, G ^{[1
]}

Obstoj, J ^{[1
]}

机构：

[1] Nottingham Trent Univ, Sch Comp & Informat, Nottingham, England

来源：

ADVANCES IN VISUAL COMPUTING, PROCEEDINGS | 2005年 / 3804卷

关键词：

CCD sensor; Bayer pattern; image compression; lossless compression;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

An evaluation of lossless image compression methods applied to CCD sensor data is provided. Ten different image compression algorithms were tested on an image set of more than 200 images organised according to the Bayer pattern configuration. The results show that Glicbawls is the best performing algorithm providing the highest compression ratio followed by CALIC, JPEG-LS, and JPEC2000.

引用

页码：420 / 426

页数：7

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