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Optical Engineering • Open Access

Toward high-quality image communications: inverse problems in image processing
Author(s): Cheolkon Jung; Licheng Jiao; Bing Liu; Hongtao Qi; Tian Sun

Paper Abstract

Recently, image communications are becoming increasingly popular, and there is a growing need for consumers to be provided with high-quality services. Although the image communication services already exist over third-generation wireless networks, there are still obstacles that prevent high-quality image communications because of limited bandwidth. Thus, more research is required to overcome the limited bandwidth of current communications systems and achieve high-quality image reconstruction in real applications. From the point of view of image processing, core technologies for high-quality image reconstruction are face hallucination and compression artifact reduction. The main interests of consumers are facial regions and several compression artifacts inevitably occur by compression; these two technologies are closely related to inverse problems in image processing. We review recent studies on face hallucination and compression artifact reduction, and provide an outline of current research. Furthermore, we discuss practical considerations and possible solutions to implement these two technologies in real mobile applications.

Paper Details

Date Published: 27 September 2012
PDF: 14 pages
Opt. Eng. 51(10) 100901 doi: 10.1117/1.OE.51.10.100901
Published in: Optical Engineering Volume 51, Issue 10
Show Author Affiliations
Cheolkon Jung, Xidian Univ. (China)
Licheng Jiao, Xidian Univ. (China)
Bing Liu, Xidian Univ. (China)
Hongtao Qi, Xidian Univ. (China)
Tian Sun, Xidian Univ. (China)

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