Abstract
Just noticeable difference (JND) characterizes the minimum visibility threshold, which is important for the compression optimization and quality assessment of visual content. According to our best knowledge, there are no public JND model or related database specific to panoramic content, which has become a hot topic in recent years. To facilitate future researches of JND modeling of panoramic content, we explored the JND characteristics of JPEG compressed panoramic images in this paper. Considering the actual application scenario and the scale of experiment, we first establish a database consisting of 40 reference panoramic images and 4000 distorted panoramic images generated by JPEG encoder. Subsequently, a subjective experiment was conducted based on the subjective JND evaluation method. With the proposed database, the existing state-of-the-art JND models are further evaluated and analyzed. Finally, the performance comparison experiment indicates that it is necessary to focus on the particularity of panoramic content and explore new JND models, which can also provide new ideas for related research.
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Acknowledgements
This work was supported in part by the National Natural Science Foundation of China under Grant 31670553, 61501299, 61672443 and 61620106008, in part by the Guangdong Nature Science Foundation under Grant 2016A030310058, in part by the Shenzhen Emerging Industries of the Strategic Basic Research Project under Grants JCYJ20160226191842793, in part by the Natural Science Foundation of SZU (grant no. 827000144), and in part by the Tencent “Rhinoceros Birds”-Scientific Research Foundation for Young Teachers of Shenzhen University.
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Liu, X., Chen, Z., Wang, X., Jiang, J., Kowng, S. (2018). JND-Pano: Database for Just Noticeable Difference of JPEG Compressed Panoramic Images. In: Hong, R., Cheng, WH., Yamasaki, T., Wang, M., Ngo, CW. (eds) Advances in Multimedia Information Processing – PCM 2018. PCM 2018. Lecture Notes in Computer Science(), vol 11164. Springer, Cham. https://doi.org/10.1007/978-3-030-00776-8_42
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DOI: https://doi.org/10.1007/978-3-030-00776-8_42
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