FDCE-Net: Underwater Image Enhancement with Embedding Frequency and Dual Color Encoder
Zheng Cheng, Guodong Fan, Jingchun Zhou, Min Gan, C. L. Philip Chen

TL;DR
FDCE-Net is a novel underwater image enhancement method that leverages frequency domain analysis and dual color encoding to effectively address issues like color shift, noise, and blurring, producing clearer and more natural images.
Contribution
The paper introduces FDCE-Net, combining frequency domain decoupling and a dual-color encoder to improve underwater image enhancement beyond existing spatial-only methods.
Findings
Enhanced images with richer details and natural colors.
Effective reduction of noise and color shift.
Outperforms prior methods in quality metrics.
Abstract
Underwater images often suffer from various issues such as low brightness, color shift, blurred details, and noise due to light absorption and scattering caused by water and suspended particles. Previous underwater image enhancement (UIE) methods have primarily focused on spatial domain enhancement, neglecting the frequency domain information inherent in the images. However, the degradation factors of underwater images are closely intertwined in the spatial domain. Although certain methods focus on enhancing images in the frequency domain, they overlook the inherent relationship between the image degradation factors and the information present in the frequency domain. As a result, these methods frequently enhance certain attributes of the improved image while inadequately addressing or even exacerbating other attributes. Moreover, many existing methods heavily rely on prior knowledge to…
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Taxonomy
TopicsImage Enhancement Techniques · Image and Signal Denoising Methods · Underwater Acoustics Research
Methods*Communicated@Fast*How Do I Communicate to Expedia? · Convolution · Batch Normalization · Residual Connection · Residual Block · Focus
