Synthetic HDR Image Dataset For Quality Assessment Research

Synthetic HDR Image Dataset This dataset contains 300 synthetic High Dynamic Range (HDR) images generated using a Python script. Each image is 256x256 pixels in size and is created by combining different intensity layers to simulate HDR effects. The images are further processed using random gamma correction to emulate tone mapping, followed by the addition of random noise to create a realistic HDR-like appearance. Total Images: 300 Image Size: 256x256 pixels Format: PNG Color Channels: 3 (Simulated RGB) The dataset can be used for various image processing tasks, including HDR tone mapping, color correction, and machine learning experiments involving synthetic HDR content.合成高动态范围（High Dynamic Range, HDR）图像数据集 本数据集包含300张通过Python脚本生成的合成高动态范围（HDR）图像。每张图像分辨率为256×256像素，通过融合不同强度层级以模拟HDR视觉效果。随后，这些图像将通过随机伽马校正来模拟色调映射效果，并添加随机噪声以生成逼真的类HDR视觉外观。 图像总数：300 图像分辨率：256×256像素 存储格式：PNG 色彩通道：3通道（模拟RGB色彩空间） 本数据集可应用于多种图像处理任务，包括HDR色调映射、色彩校正，以及基于合成HDR内容的机器学习实验。