Document Type

Conference Proceeding

Publisher

IEEE

Faculty

Computing, Health and Science

School

School of Engineering and Mathematics, Centre for Communications Engineering Research

RAS ID

3570

Comments

This conference paper was originally published as: Tropf, A. S., & Chai, D. K. (2005). Region segmentation for facial image compressing. Proceedings of Fifth International Conference on Information, Communications and Signal Processing. (pp. 1565-1569). Bangkok, Thailand. IEEE. Original article available here

Abstract

This paper addresses the segmentation of passport images in order to improve quality of significant regions and to further reduce redundancy of insignificant ones. The approach is to first segment a facial image into two major regions, namely background and foreground. Here a new technique using pixel difference is presented. To compress facial regions at better quality, a face segmentation algorithm is introduced that detects eyes and mouth in a face. Region of interest (ROI) coding is then used to obtain better quality for facial features. At the end, some strategies that make use of region segmentation are proposed in order to increase performance in entropy coding

 
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Link to publisher version (DOI)

10.1109/ICICS.2005.1689320