基于对象分割的彩色个人身份照片压缩

PACRIM. 2005 IEEE Pacific Rim Conference on Communications, Computers and signal Processing, 2005. Pub Date : 2005-10-17 DOI:10.1109/PACRIM.2005.1517352

Zhu Qiuyu, Wang Suozhong

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引用次数: 9

摘要

研究了基于目标分割的彩色个人识别图像压缩。利用目标模式识别方法，将个人身份证照片划分为背景、头肩和面部三个区域。不同的区域有不同的图像质量。采用Freeman链码描述及其背景边界的算法编码、背景自适应灰度填充、位平面移位质量分级压缩算法以及基于JPEG-2000的小波变换和EBCOT编码方案，取得了优于标准JPEG-2000的良好效果。

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Color personal ID photo compression based on object segmentation

The paper studies color personal identification photo compression based on object segmentation. Using an object pattern recognition method, a personal ID photo is divided into three regions - background, head-and-shoulder region and facial region. Different regions have different image qualities. After adopting the Freeman chain code description and its arithmetic coding of background boundary, background adaptive gray padding, bit-plane shift quality graded compression algorithm, and JPEG-2000 based wavelet transform and EBCOT coding scheme, a good result that is better than the standard JPEG-2000 is obtained.

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来源期刊

PACRIM. 2005 IEEE Pacific Rim Conference on Communications, Computers and signal Processing, 2005.

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