Share Email Print

Proceedings Paper

Subjective quality assessment of numerically reconstructed compressed holograms
Author(s): Ayyoub Ahar; David Blinder; Tim Bruylants; Colas Schretter; Adrian Munteanu; Peter Schelkens
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

Recently several papers reported efficient techniques to compress digital holograms. Typically, the rate-distortion performance of these solutions was evaluated by means of objective metrics such as Peak Signal-to-Noise Ratio (PSNR) or the Structural Similarity Index Measure (SSIM) by either evaluating the quality of the decoded hologram or the reconstructed compressed hologram. Seen the specific nature of holograms, it is relevant to question to what extend these metrics provide information on the effective visual quality of the reconstructed hologram. Given that today no holographic display technology is available that would allow for a proper subjective evaluation experiment, we propose in this paper a methodology that is based on assessing the quality of a reconstructed compressed hologram on a regular 2D display. In parallel, we also evaluate several coding engines, namely JPEG configured with the default perceptual quantization tables and with uniform quantization tables, JPEG 2000, JPEG 2000 extended with arbitrary packet decompositions and direction-adaptive filters and H.265/HEVC configured in intra-frame mode. The experimental results indicate that the perceived visual quality and the objective measures are well correlated. Moreover, also the superiority of the HEVC and the extended JPEG 2000 coding engines was confirmed, particularly at lower bitrates.

Paper Details

Date Published: 22 September 2015
PDF: 15 pages
Proc. SPIE 9599, Applications of Digital Image Processing XXXVIII, 95990K (22 September 2015); doi: 10.1117/12.2189887
Show Author Affiliations
Ayyoub Ahar, Vrije Univ. Brussel (Belgium)
iMinds (Belgium)
David Blinder, Vrije Univ. Brussel (Belgium)
iMinds (Belgium)
Tim Bruylants, Vrije Univ. Brussel (Belgium)
iMinds (Belgium)
Colas Schretter, Vrije Univ. Brussel (Belgium)
iMinds (Belgium)
Adrian Munteanu, Vrije Univ. Brussel (Belgium)
iMinds (Belgium)
Peter Schelkens, Vrije Univ. Brussel (Belgium)
iMinds (Belgium)

Published in SPIE Proceedings Vol. 9599:
Applications of Digital Image Processing XXXVIII
Andrew G. Tescher, Editor(s)

© SPIE. Terms of Use
Back to Top