Panoramic and immersive images are becoming quite popular, because of the recent introduction of a variety of powerful virtual reality (VR) devices. A topic of interest in this context is the quality assessment research of immersive VR images which is strongly related to the dataset used in experiments. Thus, we are making our database of immersive images with few stitching errors and distortion publicly available as a resource for the picture quality and virtual reality communities.
The goal of our study is to understand the joint impact of compression and spatial resolution on immersive image quality. All the provided images are of 4096×2160 spatial resolution and compressed without loss. The database embodies thousands of snapshots in order to greatly alleviate stitching errors and other distortions. The snapshots composing each immersive image are separated by uniform angular increments of 2-degrees in both the meridian and parallel dimensions. We envision that these ground-truth samples will prove to be useful for future subjective and objective quality assessment research studies.