Deep Learning Based Filtering Algorithm for Noise Removal in Underwater Images Article Swipe

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Aswathy K Cherian , E. Poovammal , Ninan Sajeeth Philip , Kadiyala Ramana , Saurabh Singh , In-Ho Ra ·

YOU? · · 2021 · Open Access · · DOI: https://doi.org/10.3390/w13192742

Under-water sensing and image processing play major roles in oceanic scientific studies. One of the related challenges is that the absorption and scattering of light in underwater settings degrades the quality of the imaging. The major drawbacks of underwater imaging are color distortion, low contrast, and loss of detail (especially edge information). The paper proposes a method to address these issues by de-noising and increasing the resolution of the image using a model network trained on similar data. The network extracts frames from a video and filters them with a trigonometric–Gaussian filter to eliminate the noise in the image. It then applies contrast limited adaptive histogram equalization (CLAHE) to improvise the image contrast, and finally enhances the image resolution. Experimental results show that the proposed method could effectively produce enhanced images from degraded underwater images.

Related Topics

Underwater Acoustics

Artificial Intelligence

Histogram Equalization

Concepts

Adaptive histogram equalization Underwater Artificial intelligence Computer science Computer vision Contrast (vision) Distortion (music) Noise (video) Histogram equalization Image restoration Filter (signal processing) Image (mathematics) Histogram Image processing Algorithm Geography Amplifier Archaeology Computer network Bandwidth (computing)

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Type: article
Language: en
Landing Page: https://doi.org/10.3390/w13192742
PDF: https://www.mdpi.com/2073-4441/13/19/2742/pdf?version=1633173987
OA Status: gold
Cited By: 19
References: 46
Related Works: 10
OpenAlex ID: https://openalex.org/W3202443625

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DOI: https://doi.org/10.3390/w13192742

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Title: Deep Learning Based Filtering Algorithm for Noise Removal in Underwater Images

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Language: en

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Publication year: 2021

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Publication date: 2021-10-02

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Authors: Aswathy K Cherian, E. Poovammal, Ninan Sajeeth Philip, Kadiyala Ramana, Saurabh Singh, In-Ho Ra

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Landing page: https://doi.org/10.3390/w13192742

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Concepts: Adaptive histogram equalization, Underwater, Artificial intelligence, Computer science, Computer vision, Contrast (vision), Distortion (music), Noise (video), Histogram equalization, Image restoration, Filter (signal processing), Image (mathematics), Histogram, Image processing, Algorithm, Geography, Amplifier, Archaeology, Computer network, Bandwidth (computing)

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Cited by: 19

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