A simple tone mapping for high dynamic range image visualization using a Pseudo-Hilbert scan

Jian Zhang, Sei Ichiro Kamata, Li Tian

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The Hilbert curve is one of space-filling curves published by G. Peano. There are several applications using this curve, such as image processing, computer graphics, etc. In this paper, we concentrate on a tone mapping technique for high dynamic range images using the Pseudo-Hilbert curve. Based on the neighbourhood property of the Pseudo-Hilbert scan, a fast and flexible tone reproduction method is proposed. The proposed new technique preserves visibility and contrast impression of high dynamic range scenes in low dynamic range reproduction devices. From the experimental results, we have confirmed that the proposed method produces good results on a variety of high dynamic range images.

Original languageEnglish
Title of host publicationProceedings of IAPR Conference on Machine Vision Applications, MVA 2007
Pages363-366
Number of pages4
Publication statusPublished - 2007 Dec 1
Event10th IAPR Conference on Machine Vision Applications, MVA 2007 - Tokyo, Japan
Duration: 2007 May 162007 May 18

Publication series

NameProceedings of IAPR Conference on Machine Vision Applications, MVA 2007

Conference

Conference10th IAPR Conference on Machine Vision Applications, MVA 2007
CountryJapan
CityTokyo
Period07/5/1607/5/18

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

Fingerprint Dive into the research topics of 'A simple tone mapping for high dynamic range image visualization using a Pseudo-Hilbert scan'. Together they form a unique fingerprint.

  • Cite this

    Zhang, J., Kamata, S. I., & Tian, L. (2007). A simple tone mapping for high dynamic range image visualization using a Pseudo-Hilbert scan. In Proceedings of IAPR Conference on Machine Vision Applications, MVA 2007 (pp. 363-366). (Proceedings of IAPR Conference on Machine Vision Applications, MVA 2007).