https://scholars.lib.ntu.edu.tw/handle/123456789/633900
標題: | A Multiframe Super-resolution Pipeline for Sub-image-typed Light Field Data | 作者: | Hsu, Chien Han Lin, Yi Hsien Lin, Yen Po YI-CHANG LU |
公開日期: | 1-一月-2022 | 來源出版物: | Proceedings of 2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2022 | 摘要: | Due to the trade-off between spatial and angular resolutions in light field cameras, the obtained resolutions of synthesized 2D images are often far less than those captured by conventional digital cameras using the same image sensor. This work proposes a complete digital image processing pipeline for hand-held light field cameras to generate high-resolution all-in-focus 2D images. The flow contains refined disparity estimation, digital refocusing, and super-resolution stages in which the characteristics of light fields are considered. We adopt the efficient first-order primal-dual algorithm as our optimization tool. The results show that the proposed approach gives better image quality when compared to other existing super-resolution methods. |
URI: | https://scholars.lib.ntu.edu.tw/handle/123456789/633900 | ISBN: | 9786165904773 | DOI: | 10.23919/APSIPAASC55919.2022.9980305 |
顯示於: | 電機工程學系 |
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