Adaptive tone-mapping operator for HDR images based on image statistics

Jonghyun Bae, Kyungman Kim, Yu Jin Yun, Jaeseok Kim

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

4 Citations (Scopus)

Abstract

In this paper, we present a novel segmentation method for displaying high dynamic range image based on K-means clustering. The new segmentation method uses statistical features of an image in a logarithmic luminance domain. Each divided region is applied to different global tone mapping operators respectively. The global tone mapping operator is a logarithmic tone mapping with a different user parameters. The parameters for applying to each region are calculated using a centroid which is obtained from K-means clustering. According to results of many HDR image experiments, we demonstrate that our method is faster than other local tone mapping operators and improves an image rendering performance in terms of dark area details and contrast enhancement.

Original languageEnglish
Title of host publicationTENCON 2011 - 2011 IEEE Region 10 Conference
Subtitle of host publicationTrends and Development in Converging Technology Towards 2020
Pages1435-1438
Number of pages4
DOIs
Publication statusPublished - 2011
Event2011 IEEE Region 10 Conference: Trends and Development in Converging Technology Towards 2020, TENCON 2011 - Bali, Indonesia
Duration: 2011 Nov 212011 Nov 24

Publication series

NameIEEE Region 10 Annual International Conference, Proceedings/TENCON

Other

Other2011 IEEE Region 10 Conference: Trends and Development in Converging Technology Towards 2020, TENCON 2011
CountryIndonesia
CityBali
Period11/11/2111/11/24

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Electrical and Electronic Engineering

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