An approach to control halo suppression for local adaptive tone mapping

DOI Web Site 6 References
  • Shimoyama Sousuke
    Graduate School of Information Science and Technology, Hokkaido University
  • Ikebe Masayuki
    Graduate School of Information Science and Technology, Hokkaido University
  • Igarashi Masaki
    Graduate School of Information Science and Technology, Hokkaido University
  • Mizuno Akira
    Graduate School of Information Science and Technology, Hokkaido University
  • Motohisa Junichi
    Graduate School of Information Science and Technology, Hokkaido University

Bibliographic Information

Other Title
  • 局所的輝度補正手法におけるハロー効果制御の検討(2011 International Image Sensor Workshop(IISW)関連およびイメージセンサ一般)
  • 修正版 局所的輝度補正手法におけるハロー効果制御の検討
  • シュウセイバン キョクショテキ キド ホセイ シュホウ ニ オケル ハロー コウカ セイギョ ノ ケントウ

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Description

Local Histogram Equalization (LHE), which is efficient for High Dynamic Range (HDR) compression, requires a large amount of calculation and induces unnatural image quality. Using checker-wise histogram acquisition and line buffer, memory accessing for local histograms is processed in O(1) time. For improving image quality, we proposed approximation of LHE by compositing gamma functions. Moreover the weighting of local histogram is developed by introducing mean values of bins for the suppression and control of halo effect. We set the range of parameters for controlling halo effect by sensitivity evaluation.

Journal

  • ITE Technical Report

    ITE Technical Report 35.47 (0), 9-12, 2011

    The Institute of Image Information and Television Engineers

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