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Minimizing compression artifacts for high resolutions with adaptive quantization matrices for HEVC

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Prangnell, Lee and Sanchez Silva, Victor (2016) Minimizing compression artifacts for high resolutions with adaptive quantization matrices for HEVC. Working Paper. [Coventry]: [University of Warwick. Mathematics Institute]. (Unpublished)

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Abstract

Visual Display Units (VDUs), capable of displaying video data at High Definition (HD) and Ultra HD (UHD) resolutions, are frequently employed in a variety of technological domains. Quantization-induced video compression artifacts, which are usually unnoticeable in low resolution environments, are typically conspicuous on high resolution VDUs and video data. The default quantization matrices (QMs) in HEVC do not take into account specific display resolutions of VDUs or video data to determine the appropriate levels of quantization required to reduce unwanted compression artifacts. Therefore, we propose a novel, adaptive quantization matrix technique for the HEVC standard including Scalable HEVC (SHVC). Our technique, which is based on a refinement of the current QM technique in HEVC, takes into consideration specific display resolutions of the target VDUs in order to minimize compression artifacts. We undertake a thorough evaluation of the proposed technique by utilizing SHVC SHM 9.0 (two-layered bit-stream) and the BD-Rate and SSIM metrics. For the BD-Rate evaluation, the proposed method achieves maximum BD-Rate reductions of 56.5% in the enhancement layer. For the SSIM evaluation, our technique achieves a maximum structural improvement of 0.8660 vs. 0.8538.

Item Type: Working or Discussion Paper (Working Paper)
Subjects: Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software
Divisions: Faculty of Science > Computer Science
Library of Congress Subject Headings (LCSH): Digital video -- Standards, Video compression -- Standards, Video display terminals
Publisher: [University of Warwick. Mathematics Institute]
Place of Publication: [Coventry]
Official Date: 2016
Dates:
DateEvent
2016UNSPECIFIED
Number of Pages: 5
Institution: University of Warwick
Status: Not Peer Reviewed
Publication Status: Unpublished

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