Time-Constant Histogram Matching for Luminance and Chrominance Compensation of Multi-View Video Sequences

Conference contribution
(Conference Contribution)


Publication Details

Author(s): Fecker U, Barkowsky M, Kaup A
Publication year: 2007
ISBN: 9789898109057


Abstract


Significant advances have recently been made in the coding of video data recorded with multiple cameras. However, luminance and chrominance variations between the camera views may deteriorate the performance of multi-view video codecs and renderers. In this paper, the usage of time-constant histogram matching is proposed to compensate these differences in a pre-filtering step. It is shown that the usage of histogram matching prior to multi-view video coding leads to significant gains for the coding efficiency of both the luminance and the chrominance components. Histogram matching can also be useful for image-based rendering to avoid incorrect illumination and colour reproduction resulting from miscalibrations in the recording setup. It can be shown that the algorithm is further improved by additionally using RGB colour conversion.



FAU Authors / FAU Editors

Kaup, André Prof. Dr.-Ing.
Lehrstuhl für Multimediakommunikation und Signalverarbeitung


How to cite

APA:
Fecker, U., Barkowsky, M., & Kaup, A. (2007). Time-Constant Histogram Matching for Luminance and Chrominance Compensation of Multi-View Video Sequences. Lisbon, PT.

MLA:
Fecker, Ulrich, Marcus Barkowsky, and Andre Kaup. "Time-Constant Histogram Matching for Luminance and Chrominance Compensation of Multi-View Video Sequences." Proceedings of the 26th Picture Coding Symposium, PCS 2007, Lisbon 2007.

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Last updated on 2018-06-08 at 12:08