الملخص
Underwater image enhancement (UIE) aims to restore visibility, color fidelity, and structural detail from images degraded by wavelength-dependent attenuation and backscatter. State-of-the-art UIE methods often rely on large backbones and dense image-to-image prediction, limiting their practicality for edge deployment. Moreover, operating entirely in a single color space couples degradation estimation with luminance and chroma correction. To address these challenges, we propose PIC-UIE, a lightweight predictor--executor framework that predicts image-adaptive corrections from a fixed $256\times256$ RGB thumbnail and applies them to the native-resolution input in the YCbCr color space. The predictor produces seven outputs, organized into spatial correction, nonlinear luminance and coupled chroma mapping, and image-level color calibration. A depth map regularizes the transmission proxy during training, whereas inference uses only the RGB input. With 9,486 parameters and 0.094 GFLOPs at $256\times256$, PIC-UIE achieves 24.137 dB PSNR and 0.9216 SSIM on UIEB-90 and 21.320 dB PSNR on zero-shot LSUI. It further processes native 4K images at 55.0 FPS under the comparison protocol. These results show that structured correction prediction provides an effective and practical alternative to dense RGB reconstruction for underwater image enhancement.
الكلمات المفتاحية
الموضوع
بيانات النشر
- المجلة
- غير متاح
- وصول مفتوح
- وصول مفتوح أخضر
اقتبس هذه المقالة
APA 7
Zhu, C., Xu, D., Kong, X., Lu, X., Wang, T., & Yao, Y. (2026). PIC-UIE: Predicting Image-Adaptive Corrections for Lightweight Underwater Image Enhancement. https://omanscience.com/ar/articles/pic-uie-predicting-image-adaptive-corrections-for-lightweight-underwater-image-enhancement
MLA 9
Zhu, Cunhao, et al. "PIC-UIE: Predicting Image-Adaptive Corrections for Lightweight Underwater Image Enhancement." https://omanscience.com/ar/articles/pic-uie-predicting-image-adaptive-corrections-for-lightweight-underwater-image-enhancement.
شيكاغو (المؤلف–التاريخ)
Zhu, Cunhao, Dongliang Xu, Xiangtao Kong, Xiaoyan Lu, Tianyu Wang, and Yue Yao. 2026. "PIC-UIE: Predicting Image-Adaptive Corrections for Lightweight Underwater Image Enhancement." https://omanscience.com/ar/articles/pic-uie-predicting-image-adaptive-corrections-for-lightweight-underwater-image-enhancement.
هارفارد
Zhu, C., Xu, D., Kong, X., Lu, X., Wang, T. and Yao, Y. (2026) 'PIC-UIE: Predicting Image-Adaptive Corrections for Lightweight Underwater Image Enhancement', Available at: https://omanscience.com/ar/articles/pic-uie-predicting-image-adaptive-corrections-for-lightweight-underwater-image-enhancement.
فانكوفر
Zhu C, Xu D, Kong X, Lu X, Wang T, Yao Y. PIC-UIE: Predicting Image-Adaptive Corrections for Lightweight Underwater Image Enhancement. https://omanscience.com/ar/articles/pic-uie-predicting-image-adaptive-corrections-for-lightweight-underwater-image-enhancement
IEEE
C. Zhu, D. Xu, X. Kong, X. Lu, T. Wang, and Y. Yao, "PIC-UIE: Predicting Image-Adaptive Corrections for Lightweight Underwater Image Enhancement," https://omanscience.com/ar/articles/pic-uie-predicting-image-adaptive-corrections-for-lightweight-underwater-image-enhancement.