Comprehensive Underwater Image Enhancement via Wavelet-Discrete Cosine Transform and Color Calibration Approach

The difficult subject of Underwater Image Enhancement (UIE) involves several facets of picture deterioration, such as haziness, low contrast, and color scattering. This research discusses these issues through Comprehensive Underwater Image Enhancement via Wavelet-Discrete Cosine Transform and Color...

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Bibliographic Details
Published in2024 International Conference on Advancement in Renewable Energy and Intelligent Systems (AREIS) pp. 1 - 6
Main Authors Verma, Aparna, Warnekar, Harshad Ashok, Ghanekar, Umesh
Format Conference Proceeding
LanguageEnglish
Published IEEE 05.12.2024
Subjects
Calibration
Colored noise
Contrast
Enhancement
Histogram
Image color analysis
Image edge detection
Image enhancement
Intelligent systems
Noise reduction
Renewable energy sources
Scattering
Visualization
Wavelet
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Summary:The difficult subject of Underwater Image Enhancement (UIE) involves several facets of picture deterioration, such as haziness, low contrast, and color scattering. This research discusses these issues through Comprehensive Underwater Image Enhancement via Wavelet-Discrete Cosine Transform and Color Calibration approach. In first stage, to address the goals of noise reduction and partially color correction, Wavelet decomposition with soft thresholding and then the discrete cosine transform on luminance part of the image is used. Further guassian filter for remaining noise with high boost filtering for edge and visual enhancement followed by smoothening effect on image is applied. In second stage,adaptive histogram equalization followed by color enhancement of each channel with proper adjustment effect on the image is implemented. Results after experimental analysis shows satisfactory performance of the present approach in comparison to state of art methods in terms of UCIQE and UIQM.
DOI:10.1109/AREIS62559.2024.10893680