Subjective evaluation of an edge-based depth image compression scheme

Yun Li; Mårten Sjöström; Ulf Jennehag; Roger Olsson; Sylvain Tourancheau

doi:10.1117/12.2003053

12 March 2013 Subjective evaluation of an edge-based depth image compression scheme

Yun Li, Mårten Sjöström, Ulf Jennehag, Roger Olsson, Sylvain Tourancheau

Proceedings Volume 8648, Stereoscopic Displays and Applications XXIV; 86480D (2013) https://doi.org/10.1117/12.2003053
Event: IS&T/SPIE Electronic Imaging, 2013, Burlingame, California, United States

Abstract

Multi-view three-dimensional television requires many views, which may be synthesized from two-dimensional images with accompanying pixel-wise depth information. This depth image, which typically consists of smooth areas and sharp transitions at object borders, must be consistent with the acquired scene in order for synthesized views to be of good quality. We have previously proposed a depth image coding scheme that preserves significant edges and encodes smooth areas between these. An objective evaluation considering the structural similarity (SSIM) index for synthesized views demonstrated an advantage to the proposed scheme over the High Efficiency Video Coding (HEVC) intra mode in certain cases. However, there were some discrepancies between the outcomes from the objective evaluation and from our visual inspection, which motivated this study of subjective tests. The test was conducted according to ITU-R BT.500-13 recommendation with Stimulus-comparison methods. The results from the subjective test showed that the proposed scheme performs slightly better than HEVC with statistical significance at majority of the tested bit rates for the given contents.

Citation Download Citation

Yun Li, Mårten Sjöström, Ulf Jennehag, Roger Olsson, and Sylvain Tourancheau "Subjective evaluation of an edge-based depth image compression scheme", Proc. SPIE 8648, Stereoscopic Displays and Applications XXIV, 86480D (12 March 2013); https://doi.org/10.1117/12.2003053

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KEYWORDS

Image compression

Image quality

Computer programming

Image processing

Video

Video coding

Video compression

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