See-through image enhancement through sensor fusion

Bo Fu, Mao Ye, Ruigang Yang, Cha Zhang

Research output: Contribution to journalConference articlepeer-review

Abstract

Many hardware designs have been developed to allow a camera to be placed optically directly behind the screen. The purpose of such setups is to enable two-way video teleconferencing that maintains eye-contact. However, the image from the see-through camera usually exhibits a number of imaging artifacts such as low signal to noise ratio, incorrect color balance, and lost of details. We develop a novel image enhancement framework that utilizes an auxiliary color+depth camera that is mounted on the side of the screen. By fusing the information from both cameras, we are able to significantly improve the quality of the see-through image. Experimental results have demonstrated that our fusion method compares favorably against traditional image enhancement/warping methods that uses only a single image.

Original languageEnglish
Article number6298482
Pages (from-to)687-692
Number of pages6
JournalProceedings - IEEE International Conference on Multimedia and Expo
DOIs
StatePublished - 2012
Event2012 13th IEEE International Conference on Multimedia and Expo, ICME 2012 - Melbourne, VIC, Australia
Duration: Jul 9 2012Jul 13 2012

Keywords

  • image denosing
  • image warping
  • video teleconferening

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications

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