Local color correction with three dimensional point set registration for underwater stereo images

Hyoungchul Shin, Ukil Yang, Kwanghoon Sohn

Research output: Contribution to journalArticle

Abstract

This paper proposes a novel local color correction algorithm that uses three dimensional (3D) point set registration especially for underwater stereo images. Due to the limited visibility in an underwater environment, underwater stereo images are usually captured by a half-mirror-based stereo camera that helps to prevent the unwanted visual fatigues induced by excessive disparities. However, the interaction between the half mirror and the scattered light components in the water may produce strong local color discrepancies. Thus, the proposed algorithm extracts sufficient information on the entire image area between the left and right images using 3D point set registration to counteract these effects. Since the proposed algorithm simultaneously processes all three color channels in the local color space, it is robust to the strong local color discrepancies in underwater stereo images. The proposed algorithm is both subjectively and objectively evaluated by comparing the histograms, the color similarities, and the disparity images before and after color correction. After color correction, the proposed algorithm achieves a color similarity up to 96.67%, while other conventional algorithms show color similarities only up to 90.66%. Although the proposed algorithm is designed for underwater stereo images, it can be used for various stereo images and applications.

Original languageEnglish
Article number047002
JournalOptical Engineering
Volume51
Issue number4
DOIs
Publication statusPublished - 2012 Apr 1

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Color
color
Mirrors
mirrors
visibility
histograms
Visibility
Cameras
cameras
Fatigue of materials
water
Water
interactions

All Science Journal Classification (ASJC) codes

  • Atomic and Molecular Physics, and Optics
  • Engineering(all)

Cite this

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title = "Local color correction with three dimensional point set registration for underwater stereo images",
abstract = "This paper proposes a novel local color correction algorithm that uses three dimensional (3D) point set registration especially for underwater stereo images. Due to the limited visibility in an underwater environment, underwater stereo images are usually captured by a half-mirror-based stereo camera that helps to prevent the unwanted visual fatigues induced by excessive disparities. However, the interaction between the half mirror and the scattered light components in the water may produce strong local color discrepancies. Thus, the proposed algorithm extracts sufficient information on the entire image area between the left and right images using 3D point set registration to counteract these effects. Since the proposed algorithm simultaneously processes all three color channels in the local color space, it is robust to the strong local color discrepancies in underwater stereo images. The proposed algorithm is both subjectively and objectively evaluated by comparing the histograms, the color similarities, and the disparity images before and after color correction. After color correction, the proposed algorithm achieves a color similarity up to 96.67{\%}, while other conventional algorithms show color similarities only up to 90.66{\%}. Although the proposed algorithm is designed for underwater stereo images, it can be used for various stereo images and applications.",
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Local color correction with three dimensional point set registration for underwater stereo images. / Shin, Hyoungchul; Yang, Ukil; Sohn, Kwanghoon.

In: Optical Engineering, Vol. 51, No. 4, 047002, 01.04.2012.

Research output: Contribution to journalArticle

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