Image Enhancement of Low Exposure Underwater Images using Contrast Correction
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Abstract
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.
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