GPU-accelerated image retexturing in gradient domain

Ping Li, Hanqiu Sun, Jianbing Shen

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

This paper presents the novel GPU-accelated image retexturing approach for both high and low dynamic range images using our newly invented fast NLM filtering. Integrating the fast Maclaurin polynomial kernel filter and the latest GPU-CUDA acceleration, our approach is able to produce real-time high quality retexturing for objects of the interest, while preserving the original shading and similar texture distortion. We apply our revised NLM filtering to the initial depth map to ensure smoothed depth field for retexturing. Our approach using GPU-based fast NLM filtering is designed in parallel, and easy to develop on latest GPUs. Our testing results have shown the efficiency and satisfactory performance using our approach.

Original languageEnglish
Title of host publicationIMAGAPP 2010 - Proceedings of the International Conference on Imaging Theory and Applications, IVAPP 2010 - Proc. Int. Conf. Information Visualization Theory and Applications
Pages29-34
Number of pages6
Publication statusPublished - 10 Sep 2010
Externally publishedYes
Event2nd International Conference on Imaging Theory and Applications, IMAGAPP 2010, 1st International Conference on Information Visualization Theory and Applications, IVAPP 2010 - Angers, France
Duration: 17 May 201021 May 2010

Publication series

NameIMAGAPP 2010 - Proceedings of the International Conference on Imaging Theory and Applications, IVAPP 2010 - Proc. Int. Conf. Information Visualization Theory and Applications

Conference

Conference2nd International Conference on Imaging Theory and Applications, IMAGAPP 2010, 1st International Conference on Information Visualization Theory and Applications, IVAPP 2010
Country/TerritoryFrance
CityAngers
Period17/05/1021/05/10

Keywords

  • High dynamic range image
  • Image-based rendering
  • Non-local means filtering

ASJC Scopus subject areas

  • Computer Science Applications
  • Computer Vision and Pattern Recognition

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