Illumination-invariant image mosaic calculation based on logarithmic search

对数数学形态学：一种适应光照变化的新框架

Logarithmic mathematical morphology: a new framework adaptive to illumination changes

本文提出了一种基于对数图像处理模型的新数学形态学框架，该框架能够适应曝光时间或光照强度变化引起的光照变化，通过定义对数膨胀和腐蚀算子，提高了低对比信息处理的效率。

从多光谱滤光片阵列图像中学习深度光照鲁棒特征

Learning deep illumination-robust features from multispectral filter array images

针对多光谱滤光片阵列图像去马赛克伪影、训练计算密集及光照依赖问题，提出从原始图像学习特征的方法，通过原始光谱恒常性、MSFA保留变换和原始混合提升分类性能并降低计算量。

A PDE-based log-agnostic illumination correction algorithm

This report presents the results of a partial differential equation (PDE)-based image enhancement algorithm, for dynamic range compression and illumination correction in the absence of the logarithmic function. The proposed algorithm combines forward and reverse flows in a PDE-based formulation. The experimental results are compared with algorithms from the literature and indicate comparable performance in most cases.

Image Dynamic Range Enhancement in the Context of Logarithmic Models

Images of a scene observed under a variable illumination or with a variable optical aperture are not identical. Does a privileged representant exist? In which mathematical context? How to obtain it? The authors answer to such questions in the context of logarithmic models for images. After a short presentation of the model, the paper presents two image transforms: one performs an optimal enhancement of the dynamic range, and the other does the same for the mean dynamic range. Experimental results are shown.

基于轻量级光谱注意力网络的无监督光谱去马赛克

Unsupervised Spectral Demosaicing with Lightweight Spectral Attention Networks

本文提出一种基于轻量级光谱注意力网络的无监督光谱去马赛克框架，通过马赛克损失、变换与早停策略及注意力分解降低复杂度，并构建 Mosaic25 真实 25 波段数据集，在多项指标上优于传统无监督方法。

Illumination Normalization via Merging Locally Enhanced Textures for Robust Face Recognition

In order to improve the accuracy of face recognition under varying illumination conditions, a local texture enhanced illumination normalization method based on fusion of differential filtering images (FDFI-LTEIN) is proposed to weaken the influence caused by illumination changes. Firstly, the dynamic range of the face image in dark or shadowed regions is expanded by logarithmic transformation. Then, the global contrast enhanced face image is convolved with difference of Gaussian filters and difference of bilateral filters, and the filtered images are weighted and merged using a coefficient sel…