Practical Method for the Underwater Image Enhancement with Adjusted CLAHE

Due to the nature of the underwater, underwater images are generally low quality. Therefore, some image enhancement methods are used for clarifying colours, improving the visibility of objects, and increasing image quality. The literature survey reveals that there are several methods for underwater image enhancement. But most of them contains advanced techniques such as artificial intelligence or some procedure requires expertise knowledge. In this study, a practical method has been proposed to improve underwater images easily. This method consists of the methods: histogram equalization and also contrast-limited adaptive histogram equalization. The performance test of the proposed method has been evaluated by using the entropy value, PSNR (Peak Signal to Noise Ratio) and the MSE (Mean Square Error) considering some existing methods in the literature. The obtained results indicate that the introduced method is very efficient and successful to improve all kind of underwater images.

[1]  Taranbir Kaur,et al.  Performance Evaluation of Fuzzy and Histogram Based Color Image Enhancement , 2015 .

[2]  Qing-Zhong Li,et al.  Low-bit-rate coding of underwater color image using improved wavelet difference reduction , 2010, J. Vis. Commun. Image Represent..

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

[4]  Raanan Fattal,et al.  Single image dehazing , 2008, ACM Trans. Graph..

[5]  H. Singh,et al.  UWIT: underwater image toolbox for optical image processing and mosaicking in MATLAB , 2002, Proceedings of the 2002 Interntional Symposium on Underwater Technology (Cat. No.02EX556).

[6]  Huimin Lu,et al.  Underwater image dehazing using joint trilateral filter , 2014, Comput. Electr. Eng..

[7]  K. V. N. Sunitha,et al.  Enhancing Digital Images Through Cuckoo Search Algorithm in Combination with Morphological Operation , 2015, J. Comput. Sci..

[8]  K. Rajeswari,et al.  Membership Function modification for Image Enhancement using fuzzy logic , 2013 .

[9]  Nor Ashidi Mat Isa,et al.  Pixel distribution shifting color correction for digital color images , 2012, Appl. Soft Comput..

[10]  Rajesh Kochher,et al.  Performance Evaluation of Fuzzy based DCP and AHE for Underwater Image Haze Removal , 2015 .

[11]  Puran Gour,et al.  Underwater Image Segmentation using CLAHE Enhancement and Thresholding , 2012 .

[12]  Rabab Kreidieh Ward,et al.  Fast Image/Video Contrast Enhancement Based on Weighted Thresholded Histogram Equalization , 2007, IEEE Transactions on Consumer Electronics.

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

[14]  Lizhong Xu,et al.  Region-specialized underwater image restoration in inhomogeneous optical environments , 2014 .

[15]  R.SwarnaLakshmi,et al.  An Efficient Underwater Image Enhancement Using Color Constancy Deskewing Algorithm , 2015 .

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

[17]  Weiqi Yin,et al.  MATLAB ® based Image PreProcessing and Digital Image Correlation of Objects in Liquid , 2009 .

[18]  P ? ? ? ? ? ? ? % ? ? ? ? , 1991 .

[19]  Alaa Kassab,et al.  Image Enhancement Methods and Implementation in Matlab , 2013 .

[20]  Omer Deperlioglu,et al.  Underwater image enhancement based on contrast adjustment via differential evolution algorithm , 2016, 2016 International Symposium on INnovations in Intelligent SysTems and Applications (INISTA).

[21]  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.

[22]  Sarp Ertürk,et al.  Visual enhancement of underwater images using Empirical Mode Decomposition , 2012, Expert Syst. Appl..

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

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

[25]  Pankaj Sahu,et al.  Performance Analysis of Underwater Image Enhancement with CLAHE 2D Median Filtering Technique On the Basis Of SNR, RMS Error, Mean Brightness , 2013 .