Retinex-MEF：基于Retinex的感知眩光效应的无监督多曝光图像融合
Retinex-MEF: Retinex-based Glare Effects Aware Unsupervised Multi-Exposure Image Fusion
AI总结：
针对传统Retinex框架下多曝光图像融合无法充分建模过曝光眩光的问题，提出无监督可控的Retinex-MEF方法，通过共享反射率分解与双向损失缓解眩光，结合可控融合准则实现灵活曝光调整，经多类数据集验证性能优异。
摘要：
多曝光图像融合（MEF）将同一场景的多张不同曝光图像合成为一张曝光良好的合成图像。Retinex理论将图像光照与场景反射率分离，为确保不同曝光水平下场景表示的一致性和信息的有效融合提供了天然框架。然而，传统的光照与反射率逐像素相乘的方式，无法充分建模过曝光引发的眩光效应。为解决这一局限，我们提出了一种名为Retinex-MEF的无监督可控方法。具体而言，该方法将多曝光图像分解为多个独立光照分量和一个共享反射分量，并有效建模过曝光导致的眩光。共享反射率通过双向损失学习，使方法能够有效缓解眩光效应。此外，我们提出了一种可控曝光融合准则，可在保留对比度的同时实现全局曝光调整，从而突破固定曝光水平的限制。在欠曝光-过曝光融合、曝光可控融合、同质极端曝光融合等多种数据集上的大量实验，证明了模型的有效分解能力和灵活融合能力。代码可在https://github.com/HaowenBai/Retinex-MEF获取。
英文摘要：
Multi-exposure image fusion (MEF) synthesizes multiple, differently exposed images of the same scene into a single, well-exposed composite. Retinex theory, which separates image illumination from scene reflectance, provides a natural framework to ensure consistent scene representation and effective information fusion across varied exposure levels. However, the conventional pixel-wise multiplication of illumination and reflectance inadequately models the glare effect induced by overexposure. To address this limitation, we introduce an unsupervised and controllable method termed Retinex-MEF. Specifically, our method decomposes multi-exposure images into separate illumination components with a shared reflectance component, and effectively models the glare induced by overexposure. The shared reflectance is learned via a bidirectional loss, which enables our approach to effectively mitigate the glare effect. Furthermore, we introduce a controllable exposure fusion criterion, enabling global exposure adjustments while preserving contrast, thus overcoming the constraints of a fixed exposure level. Extensive experiments on diverse datasets, including underexposure-overexposure fusion, exposure controlled fusion, and homogeneous extreme exposure fusion, demonstrate the effective decomposition and flexible fusion capability of our model. The code is available at https://github.com/HaowenBai/Retinex-MEF
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
