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Color tone determination prior algorithm for depth variant underwater images from AUV’s to improve processing time and image quality by Rohit Pravin Mungekar; R. Jayagowri is a Computer Science article available to read on EtoBox.

What is Color tone determination prior algorithm for depth variant underwater images from AUV’s to improve processing time and image quality about?

There are different movements of AUV based on the design and if the AUV glides up and down underwater, so the images captured by the AUV cameras are depth variant images. In this scenario processing and getting high quality images and its information with the less battery power consumption has become a challenge. Recent AUV technology to capture the underwater images demands dedicated hardware unit to obtain clear underwater images without any haze. Since, underwater images are available in different color tones depending on the depth at which images are taken by the AUV cameras requires different processing methods. In this paper, a single hardware unit with Color tone determination prior (CTDP) algorithm is proposed to integrate with AUV's to process with different color tone images and produce good results. In our proposed image processing method, during the first phase of our work, we determined the color tone using CTDP and restored the red channel. In the second phase, white balancing and image fusion is performed to improve the underwater images for artifact free blending. Our method is experimented on various images of underwater image enhancement benchmark dataset (UIEBD).

Who reads Color tone determination prior algorithm for depth variant underwater images from AUV’s to improve processing time and image quality?

It is typically read by researchers, students, and practitioners in Computer Science.

Author
Rohit Pravin Mungekar; R. Jayagowri
Publisher
Springer Science and Business Media LLC
Published
2023
Language
EN
Field
Computer Science (Physical Sciences)

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