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Volume: 59 | Article ID: jist0099
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Hierarchical Integrated Color Matching in a Stereoscopic Image based on Image Decomposition
  DOI :  10.2352/J.ImagingSci.Technol.2015.59.3.030402  Published OnlineMay 2015
Abstract
Abstract

Color discrepancies between the left and right image in a stereoscopic image cause many problems, including a reduction of the three-dimensional effect and increased visual fatigue. Thus, color matching in a stereoscopic image is very important for three-dimensional display systems. Therefore, a hierarchical integrated color matching method based on image decomposition is proposed for stereoscopic images. In the proposed method, global and local color discrepancies generated in a stereoscopic image are effectively reduced by histogram matching and illuminant estimation using image decomposition. The stereoscopic image is first decomposed into a base layer and several texture layers. Each decomposed layer is then matched using cumulative histogram matching and a multi-scale retinex algorithm. Lastly, inverse decomposition is applied to each layer to reconstruct the corrected stereoscopic image. Experimental results show that the proposed method has a better color matching performance in comparison with previous methods.

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  Cite this article 

Ho-Gun Ha, Shibudas Kattakkalil Subhashdas, Bong-Seok Choi, Yeong-Ho Ha, "Hierarchical Integrated Color Matching in a Stereoscopic Image based on Image Decompositionin Journal of Imaging Science and Technology,  2015,  pp 030402-1 - 030402-7,  https://doi.org/10.2352/J.ImagingSci.Technol.2015.59.3.030402

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Copyright © Society for Imaging Science and Technology 2015
  Article timeline 
  • received March 2015
  • accepted May 2015
  • PublishedMay 2015

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