Underwater image enhancement based on contrast adjustment via differential evolution algorithm

Due to the absorption and scattering of light in underwater environment, underwater images have poor contrast and resolution. This situation generally causes to a color, which became more dominant than the other ones. Because of that, analyzing underwater images effectively and identifying any object under the water has become a difficult task. In this paper, an underwater enhancement approach by using differential evolution algorithm was proposed. In the approach, a contrast enhancement in the RGB space is done. By using the approach, both scattering and absorption effects are reduced.

[1]  Kartika Firdausy,et al.  IMAGE ENHANCEMENT USING CONTRAST STRETCHING ON RGB AND IHS DIGITAL IMAGE , 2007 .

[2]  A. Kai Qin,et al.  Self-adaptive differential evolution algorithm for numerical optimization , 2005, 2005 IEEE Congress on Evolutionary Computation.

[3]  R. V. Kshirsagar,et al.  A Study on the Method of Image Preprocessing for Recognition of Crop Diseases , 2012 .

[4]  Rainer Storn,et al.  Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces , 1997, J. Glob. Optim..

[5]  Ali A. Yassin,et al.  Using Discrete Wavelet Transformation To Enhance Underwater Image , 2013 .

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

[7]  Rafael C. González,et al.  Local Determination of a Moving Contrast Edge , 1985, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[8]  C. J. Prabhakar,et al.  An Image Based Technique for Enhancement of Underwater Images , 2012, ArXiv.

[9]  Ching-Chung Yang Image enhancement by modified contrast-stretching manipulation , 2006 .

[10]  Sarp Ertürk,et al.  Visual enhancement of underwater images using Empirical Mode Decomposition and wavelet denoising , 2012, 2012 20th Signal Processing and Communications Applications Conference (SIU).

[11]  Assistant Professor,et al.  Underwater Color Image Enhancement Using Wavelength Compensation and Dehazing , 2014 .

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

[13]  Vivek Maik,et al.  Blur Analysis and Removal in Underwater Images using Optical Priors , 2015 .

[14]  Li Miao,et al.  A Study on the Method of Image Pre-processing for Recognition of Crop Diseases , 2009, 2009 International Conference on Advanced Computer Control.

[15]  Ashish Kumar Bhandari,et al.  Optimal sub-band adaptive thresholding based edge preserved satellite image denoising using adaptive differential evolution algorithm , 2016, Neurocomputing.

[16]  Puran Gour,et al.  Analysis of Contrast Enhancement Techniques For Underwater Image , .