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IEEE Recommended Practice for the Quality Assessment of Light Field Imaging
IEEE Std 3333.1.4-2022
| contributor author | IEEE - The Institute of Electrical and Electronics Engineers, Inc. | |
| date accessioned | 2024-12-17T08:09:18Z | |
| date available | 2024-12-17T08:09:18Z | |
| date copyright | 31 May 2023 | |
| date issued | 2023 | |
| identifier other | 10136561.pdf | |
| identifier uri | http://yse.yabesh.ir/std;query=authoCA58ear3081D20686159DD6EFDEC014A/handle/yse/336347 | |
| description abstract | This recommended practice establishes methods of quality assessment of light field imaging based on psycho-physical studies. It also defines metrics for the quality assessment and establishes criteria for subjective assessment of light field imaging, including human factors and judgments, and identifies and quantifies quality degradation including the impact of visual contents, camera settings, compression distortion, interpolation distortion by intermediate view rendering, and structural distortion. The recommended practice addresses a series of visual phenomena that can degrade visualization specifically for light field imaging. Visual environment characteristics and viewing conditions are also part of the scope of the standard, including viewing distance, viewer position, viewing freedom, and display characteristics. | |
| language | English | |
| publisher | IEEE - The Institute of Electrical and Electronics Engineers, Inc. | |
| title | IEEE Recommended Practice for the Quality Assessment of Light Field Imaging | en |
| title | IEEE Std 3333.1.4-2022 | num |
| type | standard | |
| page | 69 | |
| status | Active | |
| tree | IEEE - The Institute of Electrical and Electronics Engineers, Inc.:;2023 | |
| contenttype | fulltext | |
| subject keywords | subjective tests | |
| subject keywords | quality assessment | |
| subject keywords | objective quality | |
| subject keywords | IEEE 3333.1.4 | |
| subject keywords | light field imaging | |
| subject keywords | datasets | |
| subject keywords | psycho-physical studies | |
| identifier DOI | 10.1109/IEEESTD.2023.10136561 |
