Objective and subjective evaluation of High Dynamic Range video compression

A number of High Dynamic Range (HDR) video compression algorithms proposed to date have either been developed in isolation or only-partially compared with each other. Previous evaluations were conducted using quality assessment error metrics, which for the most part were developed for qualitative as...

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Vydáno v:Signal processing. Image communication Ročník 47; s. 426 - 437
Hlavní autoři: Mukherjee, R., Debattista, K., Bashford-Rogers, T., Vangorp, P., Mantiuk, R., Bessa, M., Waterfield, B., Chalmers, A.
Médium: Journal Article
Jazyk:angličtina
Vydáno: Elsevier B.V 01.09.2016
Témata:
Compression algorithm
HDR video
Quality assessment
Ranking
Rate-distortion
HDR video
Ranking
Compression algorithm
Quality assessment
Rate-distortion
ISSN:0923-5965, 1879-2677
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Shrnutí:A number of High Dynamic Range (HDR) video compression algorithms proposed to date have either been developed in isolation or only-partially compared with each other. Previous evaluations were conducted using quality assessment error metrics, which for the most part were developed for qualitative assessment of Low Dynamic Range (LDR) videos. This paper presents a comprehensive objective and subjective evaluation conducted with six published HDR video compression algorithms. The objective evaluation was undertaken on a large set of 39 HDR video sequences using seven numerical error metrics namely: PSNR, logPSNR, puPSNR, puSSIM, Weber MSE, HDR-VDP and HDR-VQM. The subjective evaluation involved six short-listed sequences and two ranking-based subjective experiments with hidden reference at two different output bitrates with 32 participants each, who were tasked to rank distorted HDR video footage compared to an uncompressed version of the same footage. Results suggest a strong correlation between the objective and subjective evaluation. Also, non-backward compatible compression algorithms appear to perform better at lower output bit rates than backward compatible algorithms across the settings used in this evaluation.
ISSN:0923-5965
1879-2677
DOI:10.1016/j.image.2016.08.001