Underwater Image Enhancement with Physical-Based Denoising Diffusion Implicit Models

JOIG leads with cutting-edge research in image, video, and graphics technology - your gateway to innovations enhancing daily life and shaping a smart future. Peer-reviewed articles, published quarterly, illuminate the path to tomorrow's solutions.

Authors

Publication Details

Journal
Journal of Image and Graphics
Published
2025-01-01
DOI
https://doi.org/10.18178/joig.13.3.213-230
Citations
4
Primary Topic
Image and Signal Denoising Methods
Type
article
Field-Weighted Citation Impact
5.10
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article

Underwater Image Enhancement with Physical-Based Denoising Diffusion Implicit Models

Nguyen Gia Bach
4 citations
Journal of Image and Graphics
Image and Signal Denoising Methods
5.10
article

Underwater Image Enhancement with Physical-Based Denoising Diffusion Implicit Models

Nguyen Gia Bach
article en
4 citations

Abstract

JOIG leads with cutting-edge research in image, video, and graphics technology - your gateway to innovations enhancing daily life and shaping a smart future. Peer-reviewed articles, published quarterly, illuminate the path to tomorrow's solutions.

Journal of Image and GraphicsVol. 13(3)
Openalex Percentile: Top 5%
Image and Signal Denoising Methods
5.10
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Underwater Image Enhancement with Physical-Based Denoising Diffusion Implicit Models — Nguyen Gia Bach · Journal of Image and Graphics (2025) | TGRS Research Map | TGRS