Richter T, Habermann A, Kaup A (2015)
Publication Language: English
Publication Type: Conference contribution, Conference Contribution
Publication year: 2015
Pages Range: 1-4
ISBN: 978-1-4673-7314-2
DOI: 10.1109/VCIP.2015.7457827
In mixed-resolution multiview setups, spatially neighboring high-resolution views can be used to increase the image quality of an intermediate low-resolution camera perspective. By utilizing corresponding depth data, high-frequency information can be projected from the reference perspectives onto the image plane of the low-resolution view, creating the desired super-resolved image. In this context, the high-frequency part is extracted by subtracting an estimated low-resolution image from a high-resolution reference view. Starting from this, an approach is proposed that aims at first estimating the frequency responses of the involved cameras. As a consequence, the low-frequency part of a neighboring view can be adapted to the image characteristics of the intermediate low-resolution camera perspective. Exploiting this knowledge, the approach finally leads to a high-frequency part that better fits the target low-resolution view and thus to a better super-resolution quality. For a downsampling factor of 4, the proposed estimation leads to an average gain of 0.53 dB.
APA:
Richter, T., Habermann, A., & Kaup, A. (2015). Super-Resolution for Mixed-Resolution Multiview Images Using a Relative Frequency Response Estimation Method. In Proceedings of the IEEE International Conference on Visual Communications and Image Processing (VCIP) (pp. 1-4). Singapore, SG.
MLA:
Richter, Thomas, Annelie Habermann, and André Kaup. "Super-Resolution for Mixed-Resolution Multiview Images Using a Relative Frequency Response Estimation Method." Proceedings of the IEEE International Conference on Visual Communications and Image Processing (VCIP), Singapore 2015. 1-4.
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