Immersive Image Quality Assessment Database

Introduction

      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 develop a model that expresses the joint impact of spatial resolution s and JPEG compression quality factor q_f on immersive image quality, and make our database of immersive images and MOS data publicly available for the picture quality and virtual reality communities.  

Citation:
@article{HuangImmersiveIQA,author={Mingkai Huang and Qiu Shen and Zhan Ma and Alan Conrad Bovik and Praful Gupta and Rongbing Zhou and Xun Cao},title={Modeling the Perceptual Quality of Immersive Images Rendered on Head Mounted Displays:Resolution and Compression},journal={{IEEE}Trans.Image Processing},volume={27},number={12},pages={6039--6050},year={2018}}   

Database 

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MOS

The predicted and subjective MOS data of 15 images (Snowfield, Forest, Apartment, Desert, Telestudio, Darkroom,Parlour, Brightroom, Brickhouse, Chamber, Seaside, Fair, Race, Stadium, Pavilion) for cross validation. Img f-j can be found in the upper part of this page. The remaining 10 images (img a-e and img k-o) and corresponding Matlab code can be downloaded from the following links.

img_a_c.zip img_d_e.zip img_k_m.zip img_n_o.zip MOS_data MOS_C.xlsx MOS_T.xlsx Matlab code Matlab code_2 impaired_data.zip