Color restoration in turbid medium

Light scattering and color distortions are two major issues with underwater imaging. Scattering occurs due to turbidity of the medium and color distortions are caused by differential attenuation of wavelengths as a function of depth. As a result, underwater images taken in a turbid medium have low contrast, color cast, and color loss. The main objective of this work is color restoration of underwater images i.e, produce its equivalent image as seen outside of the water surface. As a first step, we account for low contrast by employing dark channel prior based dehazing. These images are then color corrected by learning a mapping function between a pair of color chart images, one taken inside water and another taken outside. The mapping thus learned is with respect to a reference distance from the water surface. We also propose a color modulation scheme that is applied prior to color mapping to accommodate the same mapping function for different depths as well. Color restoration results are given on several images to validate the efficacy of the proposed methodology.

[1]  Siamak Khorram,et al.  The effects of image misregistration on the accuracy of remotely sensed change detection , 1998, IEEE Trans. Geosci. Remote. Sens..

[2]  Umesh C. Pati,et al.  Underwater Image Enhancement Based on Dark Channel Prior and Histogram Equalization , 2016 .

[3]  Gregory Dudek,et al.  Color Correction of Underwater Images for Aquatic Robot Inspection , 2005, EMMCVPR.

[4]  Alessandro Rizzi,et al.  Underwater color constancy: enhancement of automatic live fish recognition , 2003, IS&T/SPIE Electronic Imaging.

[5]  Xiaoou Tang,et al.  Single Image Haze Removal Using Dark Channel Prior , 2011 .

[6]  Huimin Lu,et al.  Contrast enhancement for images in turbid water. , 2015, Journal of the Optical Society of America. A, Optics, image science, and vision.

[7]  Ahsan Kareem,et al.  Color balancing for change detection in multitemporal images , 2012, 2012 IEEE Workshop on the Applications of Computer Vision (WACV).

[8]  Linda Mullen,et al.  Remotely operated compact underwater temporally encoded imager: CUTEI , 2016, SPIE Defense + Security.

[9]  Carrick Detweiler,et al.  Color-accurate underwater imaging using perceptual adaptive illumination , 2010, Auton. Robots.

[10]  Silvia Silva da Costa Botelho,et al.  Transmission Estimation in Underwater Single Images , 2013, 2013 IEEE International Conference on Computer Vision Workshops.

[11]  Chris Murphy,et al.  Improving color correction for underwater image surveys , 2011, OCEANS'11 MTS/IEEE KONA.

[12]  Yung-fu Chen,et al.  Underwater Image Enhancement: Using Wavelength Compensation and Image Dehazing (WCID) , 2011, ACIVS.

[13]  Ying-Ching Chen,et al.  Underwater Image Enhancement by Wavelength Compensation and Dehazing , 2012, IEEE Transactions on Image Processing.

[14]  Joost van de Weijer,et al.  Computational Color Constancy: Survey and Experiments , 2011, IEEE Transactions on Image Processing.

[15]  Shahriar Negahdaripour,et al.  Revised Definition of Optical Flow: Integration of Radiometric and Geometric Cues for Dynamic Scene Analysis , 1998, IEEE Trans. Pattern Anal. Mach. Intell..

[16]  D. Sathianarayanan,et al.  Deep sea qualification of remotely operable vehicle (ROSUB 6000) , 2013, 2013 IEEE International Underwater Technology Symposium (UT).

[17]  A. Sundaresan Docking of underwater vehicle: Model, Autopilot design, and Guidance : , 2016 .

[18]  Luc Jaulin,et al.  Automatic underwater image pre-processing , 2006 .

[19]  Uwe von Lukas,et al.  Learning-based underwater image enhancement with adaptive color mapping , 2015, 2015 9th International Symposium on Image and Signal Processing and Analysis (ISPA).

[20]  M. Boffety,et al.  Phenomenological marine snow model for optical underwater image simulation: Applications to color restoration , 2012, 2012 Oceans - Yeosu.

[21]  Jian Wang,et al.  Single underwater image restoration by blue-green channels dehazing and red channel correction , 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

[22]  R. A. Salam,et al.  Underwater Image Enhancement Using an Integrated Colour Model , 2007 .