Marine Underwater Landscape Image Design Based on Bright Color Compensation and GAN Model Generation-Reference-Cited by-同舟云学术

Marine Underwater Landscape Image Design Based on Bright Color Compensation and GAN Model Generation

Published:2023-04-03 Issue: Volume:2023 Page:1-10
ISSN:1687-7268
Container-title:Journal of Sensors
language:en
Short-container-title:Journal of Sensors

Author:

Yuan Jingwen¹,Zhang Longlong¹,Kim ChulSoo²^ORCID

Affiliation:

1. Design Engineering, Department of Marine Design Convergence Engineering, Pukyong National University, Busan 612022, Republic of Korea

2. Department of Industrial Design, Pukyong National University, Busan 612022, Republic of Korea

Abstract

Traditional denoising algorithms cannot effectively deal with these images with different blurriness and color deviation. Especially for underwater operations, the images are not clear, which makes it difficult for operators to act as agents. To solve this problem, this paper proposes a bright color compensation and fusion method. Underwater image enhancement algorithm uses generated countermeasure network (GAN). First, the original image is color compensated using the bright channel to obtain a color-compensated image; then, adaptive contrast stretching is performed on the color-compensated image to obtain a clear image with high contrast. It can be seen from the experiment that the PSNR of the marine landscape map can reach 21.9329, and the SSIM can reach 0.7329, which can provide useful help for the field of underwater image enhancement.

Funder

Brain Korea 21 Program for Leading Universities and Students (BK21 FOUR) MADEC Marine Designeering Education Research Group

Publisher

Hindawi Limited

Subject

Electrical and Electronic Engineering,Instrumentation,Control and Systems Engineering

Link

http://downloads.hindawi.com/journals/js/2023/1976819.pdf

Reference25 articles.

1. Deep Reinforcement Learning-Based Path Control and Optimization for Unmanned Ships

2. Multi-Carrier $M$-ary DCSK System With Code Index Modulation: An Efficient Solution for Chaotic Communications

3. Unveiling Capacity Gains in Ultradense Networks: Using mm-Wave NOMA

4. A context hierarchical integrated network for medical image segmentation

5. A Novel Approach of Design and Analysis of a Hexagonal Fractal Antenna Array (HFAA) for Next-Generation Wireless Communication

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Enhancing Underwater Imagery with AI/ML and IoT in ROV Technology;The Springer Series in Applied Machine Learning;2024

2. Retracted: Marine Underwater Landscape Image Design Based on Bright Color Compensation and GAN Model Generation;Journal of Sensors;2023-12-20

3. Recent advances in AI for enhanced environmental monitoring and preservation;2023 IEEE International Workshop on Metrology for the Sea; Learning to Measure Sea Health Parameters (MetroSea);2023-10-04