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.
Ahar, A, Blinder, D, Bruylants, T, Schretter, C, Munteanu, A & Schelkens, P 2015, Subjective quality assessment of numerically reconstructed compressed holograms. in Applications of Digital Image Processing XXXVIII. vol. 9599, 95990K, SPIE, pp. 95990K-95990K-15, SPIE Optics & Photonics 2015, Applications of Digital Image Processing, San Diego, United States, 8/08/15. https://doi.org/10.1117/12.2189887
Ahar, A., Blinder, D., Bruylants, T., Schretter, C., Munteanu, A., & Schelkens, P. (2015). Subjective quality assessment of numerically reconstructed compressed holograms. In Applications of Digital Image Processing XXXVIII (Vol. 9599, pp. 95990K-95990K-15). Article 95990K SPIE. https://doi.org/10.1117/12.2189887
@inproceedings{ec82407916a542488059054414ef6350,
title = "Subjective quality assessment of numerically reconstructed compressed holograms",
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.",
keywords = "digital holography, Subjective quality assessment, JPEG, HEVC, JPEG 2000, CGH, Wavelets, direction-adaptive discrete wavelet transform, packet decompositions, IMAGE COMPRESSION",
author = "Ayyoub Ahar and David Blinder and Tim Bruylants and Colas Schretter and Adrian Munteanu and Peter Schelkens",
year = "2015",
month = aug,
day = "22",
doi = "10.1117/12.2189887",
language = "English",
isbn = "9781628417654",
volume = "9599",
pages = "95990K--95990K--15",
booktitle = "Applications of Digital Image Processing XXXVIII",
publisher = "SPIE",
address = "United States",
note = "SPIE Optics & Photonics 2015, Applications of Digital Image Processing ; Conference date: 08-08-2015 Through 13-08-2015",
}