Paper
16 February 2022 An assessment and grading method of ultra-HD TVs based on subjective and objective evaluation
Author Affiliations +
Proceedings Volume 12083, Thirteenth International Conference on Graphics and Image Processing (ICGIP 2021); 120832U (2022) https://doi.org/10.1117/12.2623422
Event: Thirteenth International Conference on Graphics and Image Processing (ICGIP 2021), 2021, Kunming, China
Abstract
The new breakthroughs of high dynamic range (HDR) technology have boosted the development of ultra-high-definition televisions (Ultra-HD TVs), and the evaluation standard of HDR video plays a significant role. But owing to the imperfect technique and standards, the current high-end products can hardly reach the requirements of Ultra-HD TVs. To improve the HDR assessment technique, a grading method for consumer-oriented products which balances the subjective and objective assessment is proposed to evaluate the HDR performance of Ultra-HD TVs. The subjective assessment is based on existing HDR standards, and the peak brightness, dynamic range, color gamut coverage and the absolute deviation of the electro-optical transfer function (EOTF) constitute the objective evaluation. With the proposed method, the videos which quality between the SDR and HDR standards can be divided into 3 or 4 grades by 4 metrics. The statistical results expound that many Ultra-HD TVs in the consumer-oriented market performs better than the HDR access standard, but still far from the professional-level, and the experiment results certify that the proposed method is an effective standard and can facilitate the standardized development on HDR performance of Ultra-HD TVs.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Shengyu Wei, Jia Cai, Huawei Xu, Linyi Huang, Chao Ye, Guowei Tong, and Binhui Liu "An assessment and grading method of ultra-HD TVs based on subjective and objective evaluation", Proc. SPIE 12083, Thirteenth International Conference on Graphics and Image Processing (ICGIP 2021), 120832U (16 February 2022); https://doi.org/10.1117/12.2623422
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KEYWORDS
High dynamic range imaging

Televisions

Standards development

Video

Image processing

Semantic video

Computer programming

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