Omnidirectional Image Quality Assessment Database (OMNIQAD): Description and Examples
Author:
Affiliation:
1. Brno University of Technology,FEEC,Dept. of Radio Electronics,Technicka 12,Brno,Czech Republic
2. Czech Technical University in Prague,FEE,Dept. of Radioelectronics,Technicka 2,Prague,Czech Republic
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10109000/10109002/10109005.pdf?arnumber=10109005
Reference22 articles.
1. Picture Quality of 360° Images Compressed by Emerging Compression Algorithms
2. MC360IQA: A Multi-channel CNN for Blind 360-Degree Image Quality Assessment
3. Overview of the High Efficiency Video Coding (HEVC) Standard
4. The JPEG still picture compression standard
5. Image information and visual quality
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1. Eye-Tracking Data Extension for Omnidirectional Image Quality Assessment Database (OMNIQAD);2024 34th International Conference Radioelektronika (RADIOELEKTRONIKA);2024-04-17
2. Saliency and Depth-aware Full Reference 360-degree Image Quality Assessment;International Journal of Pattern Recognition and Artificial Intelligence;2023-12-08
3. Detecting Aligned Double JPEG Compression with the Same Quantization Matrix Based on Hamming Distance and Image Stability;2023 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC);2023-11-14
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