Ms. Ruohan Zheng Profile

Ruohan Zheng

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Proceedings Article | 9 January 2024 Paper

An illumination adaptive underwater image enhancement method

Ruohan Zheng, Jianming Miao, Haosu Zhang, Xinyu Liu, Dongxu Tan

Proceedings Volume 12969, 129691V (2024) https://doi.org/10.1117/12.3014373

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In underwater imagery, issues such as non-uniform illumination, blurriness, and low contrast are prevalent, significantly impacting the quality of captured images. In recent years, numerous researchers have delved into underwater image processing. Due to the intricacies of underwater environments, low-light images have different requirements compared to well-illuminated ones. However, existing algorithms often struggle to address the non-uniform illumination issues stemming from various lighting conditions in underwater settings. They also lack the capability to adaptively enhance underwater images with varying brightness. To tackle these challenges, we propose an adaptive illumination enhancement method for underwater images. This algorithm offers the capability to adaptively enhance underwater images suffering from detail blurriness based on their original brightness. Furthermore, it dynamically adjusts the parameters of the gamma function using the image's illumination component to augment color contrast. Experimental results demonstrate that our approach outperforms other algorithms, as evidenced by superior scores in UIQM metric. It effectively addresses edge blurriness and non-uniform illumination issues prevalent in underwater images captured under varying lighting conditions.

Proceedings Article | 9 August 2023 Paper

Research on optical detection technology for underwater archaeology

Wei Mu, Ruohan Zheng, Wenrui Zhang

Proceedings Volume 12782, 1278208 (2023) https://doi.org/10.1117/12.3002208

KEYWORDS: Ocean optics, Object detection, Target detection, Target recognition, Detection and tracking algorithms, Feature extraction, Education and training, Cultural heritage, Image enhancement, Image processing

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In response to the problem that the current image processing technology and underwater target recognition algorithms are not yet mature enough in the field of underwater archaeology, this article innovatively applies object detection and underwater image clarity technology to the field of underwater archaeology. We propose a method for detecting and recognizing underwater cultural heritage based on optical devices. The method includes ocean image preprocessing and underwater cultural heritage object recognition based on YOLO V4. The results of experiments demonstrate that the proposed method can effectively and accurately detect and recognize targets in the underwater cultural heritage scene, and the clear image of the underwater relics after image preprocessing can better assist archaeologists in observing the species and distribution of samples in the real scene.

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