Parameter-Adaptive Compensation (PAC) for Processing Underwater Selective Absorption
- 1 January 2020
- journal article
- research article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Signal Processing Letters
- Vol. 27 (10709908), 2178-2182
- https://doi.org/10.1109/LSP.2020.3042126
Abstract
The quality of visual information of underwater images is mainly limited by selective absorption and scattering in water. Usually, most researches of underwater image recovery focus on addressing the scattering via inverting an optical model, but less on compensating for the unbalance attenuation caused by the selective absorption. For this reason, the recovery results are still subject to artifacts and color shifting. In this letter, a parameter-adaptive compensation method is proposed to mitigate the selective absorption. Different from the fixed parameter utilized compensation operations, the proposed method utilizes an adaptation parameter to compensate the attenuation. Further, a rigorous gradient relation between the dominant color channel and the compensated channel is established to avoid over-compensation or under-compensation. The final recovery results show the parameter-adaptive compensation method is beneficial to improve the visual quality and the Underwater Image Quality Measurement (UIQM) scores of recovered underwater images.This publication has 37 references indexed in Scilit:
- Dehazing Using Color-LinesACM Transactions on Graphics, 2014
- A research tool for long-term and continuous analysis of fish assemblage in coral-reefs using underwater camera footageEcological Informatics, 2014
- Multi-Illuminant Estimation With Conditional Random FieldsIEEE Transactions on Image Processing, 2013
- Review of constituent retrieval in optically deep and complex waters from satellite imageryRemote Sensing of Environment, 2012
- A Focus on Recent Developments and Trends in Underwater ImagingMarine Technology Society Journal, 2008
- Realization of the Contrast Limited Adaptive Histogram Equalization (CLAHE) for Real-Time Image EnhancementJournal of Signal Processing Systems, 2004
- A vision system for an underwater cable trackerMachine Vision and Applications, 2002
- A multiscale retinex for bridging the gap between color images and the human observation of scenesIEEE Transactions on Image Processing, 1997
- Adaptive histogram equalization and its variationsComputer Vision, Graphics, and Image Processing, 1987
- The Retinex Theory of Color VisionScientific American, 1977