Image Enhancement of Low Exposure Underwater Images using Contrast Correction
Maninderjeet Kaur, Er. Navdeep Singh · International Journal of Advanced Research in Computer Science · 2016
Underwater image enhancement plays a crucial role in oceanic engineering. Underwater images are poor due to the properties of water and its impurities which results in many problems like low contrast, blur, color diminishing etc. There exists many techniques that enhance the quality of such images but the images produced by them are either under enhanced or over enhanced. In this paper, a hybrid technique is proposed that combines the features of RS-ESIHE and Contrast Stretching to get an enhanced image which is devoid of the limitations discussed above. Comparative analysis of the proposed technique is done with the existing techniques both quantitatively and qualitatively. For Quantitative analysis different parameters like MSE, PSNR and Entropy are calculated. Keywords—Underwater Image Processing, Enhancement, stretching, histogram equalization, Mean Square Error, Peak Signal to Noise Ratio, Entropy.