Synthetic HDR Image Dataset For Quality Assessment Research

Published: 22 October 2024| Version 1 | DOI: 10.17632/xrfsd5jvzr.1
Contributor:
Puneet Arora

Description

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.

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Institutions

Punjabi University

Categories

Image Processing

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