Weibull Tone Mapping for Underwater Imagery

Game, Chloe A., Thompson, Michael B. and Finlayson, Graham D. (2020) Weibull Tone Mapping for Underwater Imagery. In: UNSPECIFIED.

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Abstract

Imagery is a preferred tool for environmental surveys within marine environments, particularly in deeper waters, as it is non-destructive compared to traditional sampling methods. However, underwater illumination effects limit its use by causing extremely varied and inconsistent image quality. Therefore, it is often necessary to pre-process images to improve visibility of image features and textures, and standardize their appearance. Tone mapping is a simple and effective technique to improve contrast and manipulate the brightness distributions of images. Ideally, such tone mapping would be automated, however we found that existing techniques are inferior when compared to custom manipulations by image annotators (biologists). Our own work begins with the observation that these user-defined tonal manipulations are quite variable, though on average, are fairly smooth, gentle waving operations. To predict user-defined tone maps we found it sufficed to approximate the brightness distributions of input and user adjusted images by Weibull distributions and then solve for the tone curve which matched these distributions from input to output. Experiments demonstrate that our Weibull Tone Mapping (WTM) method is strongly preferred over traditional automated tone mappers and weakly preferred over the users' own tonal adjustments.

Item Type:	Conference or Workshop Item (Paper)
Additional Information:	Funding Information: The authors gratefully acknowledge the support of EPSRC grant P007190, the NEXUSS CDT and Gardline Limited. We also thank the Gardline biologists for their contribution to this research.
Uncontrolled Keywords:	contrast limited histogram equalization,histogram specification,tone mapping,underwater image enhancement,weibull distribution,underwater image enhancement,histogram specification,tone mapping,con-trast limited histogram equalization,weibull distribution,electronic, optical and magnetic materials,atomic and molecular physics, and optics,computer vision and pattern recognition,sdg 14 - life below water ,/dk/atira/pure/subjectarea/asjc/2500/2504
Faculty \ School:	Faculty of Science > School of Computing Sciences
UEA Research Groups:	Faculty of Science > Research Groups > Colour and Imaging Lab
Related URLs:	http://www.scopus.com/inward/record.url?...
Depositing User:	LivePure Connector
Date Deposited:	17 Mar 2021 00:51
Last Modified:	21 Dec 2024 00:36
URI:	https://ueaeprints.uea.ac.uk/id/eprint/79486
DOI:	10.2352/issn.2169-2629.2020.28.24

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