Quality Assessment Of Compression Solutions For Icip 2017 Grand Challenge On Light Field Image Coding

In recent years, the research community has witnessed a growing interest in immersive representations of the real world, such as light field. However, due to the increased volume of data generated in the acquisition, new and efficient compression algorithms are needed to store and deliver light field contents. A Grand Challenge on light field image coding was organised during ICIP 2017 to collect and evaluate new compression algorithms for lenslet-based light field images. This paper reports the results of the objective and subjective evaluation campaign conducted to assess the responses to the grand challenge. An adjectival categorical rating methodology with 7-point grading scale was selected to perform subjective assessments, whereas the objective assessment was conducted using popular image quality metrics. Results show that two proposals have comparable performance and outperform the others across all bitrates.

Published in:
2018 Ieee International Conference On Multimedia & Expo Workshops (Icmew 2018)
Presented at:
IEEE International Conference on Multimedia and Expo (ICMEW), San Diego, CA, Jul 23-27, 2018
Jan 01 2018
New York, IEEE

 Record created 2019-06-18, last modified 2019-12-05

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