Towards a Quality Metric for Dense Light Fields
| Autor: | Karol Myszkowski, Vamsi Kiran Adhikarla, Hans-Peter Seidel, Rafal Mantiuk, Marek Vinkler, Denis Sumin, Piotr Didyk |
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| Rok vydání: | 2017 |
| Předmět: |
FOS: Computer and information sciences
business.industry Computer science Image quality media_common.quotation_subject Computer Vision and Pattern Recognition (cs.CV) Computer Science - Computer Vision and Pattern Recognition 020207 software engineering 02 engineering and technology Compression (functional analysis) Perception Metric (mathematics) 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Computer vision Quality (business) Artificial intelligence Representation (mathematics) business cs.CV media_common |
| Zdroj: | 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) |
| ISSN: | 1063-6919 |
| DOI: | 10.1109/CVPR.2017.396 |
| Popis: | Light fields become a popular representation of three dimensional scenes, and there is interest in their processing, resampling, and compression. As those operations often result in loss of quality, there is a need to quantify it. In this work, we collect a new dataset of dense reference and distorted light fields as well as the corresponding quality scores which are scaled in perceptual units. The scores were acquired in a subjective experiment using an interactive light-field viewing setup. The dataset contains typical artifacts that occur in light-field processing chain due to light-field reconstruction, multi-view compression, and limitations of automultiscopic displays. We test a number of existing objective quality metrics to determine how well they can predict the quality of light fields. We find that the existing image quality metrics provide good measures of light-field quality, but require dense reference light- fields for optimal performance. For more complex tasks of comparing two distorted light fields, their performance drops significantly, which reveals the need for new, light-field-specific metrics. |
| Databáze: | OpenAIRE |
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