基于人脸兴趣区域的改进压缩算法

16th International Conference on Artificial Reality and Telexistence--Workshops (ICAT'06) Pub Date : 2006-11-29 DOI:10.1109/ICAT.2006.73

Herong Zheng, Yanlin Lu, Xiaofei Feng

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引用次数: 5

摘要

本文提出了一种基于人脸感兴趣区域的图像压缩算法，以获得较高的压缩比，并保证压缩结果的质量。首先，采用FC2VQ (feature correction two-stage vector quantiization)算法检测包含人脸特征的ROI;然后计算ROI的掩模。最后利用该算法进行压缩。ROI和背景的压缩比可以根据需要随机调整。实验结果表明，该算法可以使感兴趣区域的压缩质量优于背景压缩质量，人眼可以很好地识别人脸特征区域

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Improved Compression Algorithm Based on Region of Interest of Face

This paper presents a compression algorithm based on region of interest (ROI) of face to gain a high compressing ratio and to assure the quality of compressed result. First, the ROI including facial features is detected by the FC2VQ (feature correction two-stage vector quantization) algorithm. Then the mask of ROI is calculated. Finally the proposed algorithm is used to compress. The compression ratios of ROI and background can be adjusted randomly according to the requirement. Experimental results show that our algorithm can make the compressing quality of ROI better than that of the background, and the facial features region can be well recognized by eyes

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16th International Conference on Artificial Reality and Telexistence--Workshops (ICAT'06)

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