CAVE

该数据集名为CAVE，包含了32张尺寸为512×512×31的图像，这些图像在光谱和空间上进行了退化处理，以评估不同的空间响应函数（SRF）和点扩散函数（PSF）对估计退化函数的影响。数据集分为两个子集，Cave1和Cave2，它们具有不同的PSF。其中，随机选择了20张图像用于训练，剩余的则用于测试。整个数据集规模为32张图像，任务是对空间响应函数（SRF）和点扩散函数（PSF）进行估计。

This dataset is named CAVE. It contains 32 images with dimensions of 512×512×31, which are spectrally and spatially degraded to evaluate the impact of different Spatial Response Functions (SRF) and Point Spread Functions (PSF) on the estimation of degradation functions. The dataset is split into two subsets, Cave1 and Cave2, which have distinct PSFs. Twenty images are randomly selected for training, while the remaining ones are used for testing. In total, this dataset includes 32 images, and its core task is to estimate the Spatial Response Functions (SRF) and Point Spread Functions (PSF).

搜集汇总

背景与挑战

背景概述

CAVE数据集是一个专注于光谱压缩成像重建的工具箱，支持多种先进算法，并提供丰富的子数据集和预训练模型，适用于模拟和真实场景的实验。