A pre-processing based optimized edge weighting method for colour constancy

Mahajan, Shveta and Rani, Anu and Sharma, Mamta and Mittal, S.K. and Das, Amitava (2017) A pre-processing based optimized edge weighting method for colour constancy. The Imaging Science Journal , 66 (4). pp. 231-238. ISSN 1368-2199

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Official URL: https://www.tandfonline.com/doi/abs/10.1080/136821...


An improvement in the existing weighted grey-edge (GE) framework for colour constancy is proposed. The acquired images are denoised by vector filtering and then, a two-step colour correction process is performed. In the first step, the GE method is used for estimating the global illuminant and perform the initial level of colour correction. The computed illuminant as well as the initial corrected image are used in the second step, which employs the weighted GE method to iteratively compute the final illuminant for obtaining the final colour corrected image. One hundred sixty-five standard test images from a publicly available colour constancy dataset were used to study the efficacy of the proposed algorithm. The results obtained indicate a significant improvement in the colour correction process as compared to the state-of-the-art colour constancy methods. The proposed algorithm reduced the mean angular error by approximately 67.85% compared to the existing weighted GE method.

Item Type: Article
Subjects: CSIO > Computational Instrumentation
Divisions: Computational Instrumentation
Depositing User: Ms. Jyotsana
Date Deposited: 09 Aug 2018 11:53
Last Modified: 09 Aug 2018 11:53
URI: http://csioir.csio.res.in/id/eprint/733

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