Referenced Items are not available for this document.
In this paper, we present a novel stereoscopic video quality assessment method based on 3D-DCT transform. In our approach, similar blocks from left and right views of stereoscopic video frames are found by block-matching, grouped into 3D stack and then analyzed by 3D-DCT. Comparison between reference and distorted images are made in terms of MSE calculated within the 3D-DCT domain and modified to reflect the contrast sensitive function and luminance masking. We validate our quality assessment method using test videos annotated with results from subjective tests. The results show that the proposed algorithm outperforms current popular metrics over a wide range of distortion levels.
Published in:
Image Processing (ICIP), 2011 18th IEEE International Conference on
Date of Conference: 11-14 Sept. 2011
- Page(s):
- 2521 - 2524
- ISSN :
- 1522-4880
- E-ISBN :
- 978-1-4577-1302-6
- Print ISBN:
- 978-1-4577-1304-0
- INSPEC Accession Number:
- 12504838
- Conference Location :
- Brussels
- Digital Object Identifier :
- 10.1109/ICIP.2011.6116175
- Product Type:
- Conference Publications
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