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A multicriteria optimization of the discrete sine transform for versatile video coding standard

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Abstract

The additional discrete transforms from cosine (DCT) and sine (DST) families that come with the Adaptive Multiple Transform (AMT) approach is one of the major enhancements involved in the new Versatile Video Coding (VVC) standard. They have increasingly brought additional complexity compared to HEVC standard. The transform module is one of the most consuming stages in terms of time and hardware resources. This paper focuses on the optimization of the DST-VII transform. It deals with a multicriteria optimization algorithm for approximate computing that aims at the identification of the optimal approximation of the DST-VII according to several approximation measures. The resulting transform matrix has extremely low arithmetic complexity as well as close proximity to the exact DST-VII. Moreover, hardware synthesis results denote that the simplified design of DST-VII consumes only a third of the hardware resources used by the original algorithm. Experimental results obtained from joint exploration model simulations show a slight bit-rate increase while maintaining almost the same video quality. Such results confirm the effectiveness of the proposed approximate transform. The latter yields good performance in terms of computational complexity reduction and proximity to the exact transform while exhibiting a video coding performance comparable to the original algorithm.

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Authors and Affiliations

  1. National Engineering School of Sfax, Electronic and Information Technology Laboratory, University of Sfax, 3038, Sfax, Tunisia

    Sonda Ben Jdidia, Fatma Belghith & Nouri Masmoudi

  2. Vision-AD team, LabISEN Yncrea Ouest, 20 rue Cuirassé Bretagne CS 42807, 29228, Brest Cedex 2, France

    Maher Jridi

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  1. Sonda Ben Jdidia
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  2. Fatma Belghith
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  4. Nouri Masmoudi
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Correspondence to Sonda Ben Jdidia.

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Ben Jdidia, S., Belghith, F., Jridi, M. et al. A multicriteria optimization of the discrete sine transform for versatile video coding standard. SIViP 16, 329–337 (2022). https://doi.org/10.1007/s11760-021-01925-2

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  • DOI: https://doi.org/10.1007/s11760-021-01925-2

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