VVC In-Loop Filters

Karczewicz, Marta; Hu, Nan; Taquet, Jonathan; Chen, Ching-Yeh; Misra, Kiran; Andersson, Kristoffer; Yin, Peng; Lu, Taoran; François, Édouard; Chen, Jie

doi:10.1109/tcsvt.2021.3072297

Cited by 77 publications

(30 citation statements)

References 11 publications

(21 reference statements)

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“…Ground-truth labels are also provided for side-by-side illustration. We particularly use the VVC compressed image for qualitative comparison because a set of normative in-loop filters are enabled in VVC intra coding which promises outstanding subjective quality of decoded image [69]. As seen, the proposed method noticeably improves the subjective quality with more sharp textures and less noise.…”

Section: Qualitative Visualizationmentioning

confidence: 99%

High-Efficiency Lossy Image Coding Through Adaptive Neighborhood Information Aggregation

Lu¹,

Ma²

2022

Preprint

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Questing for lossy image coding (LIC) with superior efficiency on both compression performance and computation throughput is challenging. The vital factor behind is how to intelligently explore Adaptive Neighborhood Information Aggregation (ANIA) in transform and entropy coding modules. To this aim, Integrated Convolution and Self-Attention (ICSA) unit is first proposed to form content-adaptive transform to dynamically characterize and embed neighborhood information conditioned on the input. Then a Multistage Context Model (MCM) is developed to stagewisely execute context prediction using necessary neighborhood elements for accurate and parallel entropy probability estimation. Both ICSA and MCM are stacked under a Variational Auto-Encoder (VAE) architecture to derive rate-distortion optimized compact representation of input image via end-to-end training. Our method reports the superior compression performance surpassing the VVC Intra with ≈15% BD-rate improvement averaged across Kodak, CLIC and Tecnick datasets; and also demonstrates ≈10× speedup of image decoding when compared with other notable learned LIC approaches. All materials are made publicly accessible at https://njuvision.github.io/TinyLIC for reproducible research.

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Section: Qualitative Visualizationmentioning

confidence: 99%

High-Efficiency Lossy Image Coding Through Adaptive Neighborhood Information Aggregation

Lu¹,

Ma²

2022

Preprint

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“…Another case of processing latency for chroma components appears when the luma mapping with chroma scaling (LMCS) [33], [34] and the CTU dual tree are both applied. In this case, the decoded chroma residual is scaled by a particular factor.…”

Section: Ctu Dual Treementioning

confidence: 99%

Block Partitioning Structure in the VVC Standard

Huang

et al. 2021

IEEE Trans. Circuits Syst. Video Technol.

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Versatile Video Coding (VVC) is the latest video coding standard jointly developed by ITU-T VCEG and ISO/IEC MPEG. In this paper, technical details and experimental results for the VVC block partitioning structure are provided. Among all the new technical aspects of VVC, the block partitioning structure is identified as one of the most substantial changes relative to the previous video coding standards and provides the most significant coding gains. The new partitioning structure is designed using a more flexible scheme. Each coding tree unit (CTU) is either treated as one coding unit or split into multiple coding units by one or more recursive quaternary tree partitions followed by one or more recursive multi-type tree splits. The latter can be horizontal binary tree split, vertical binary tree split, horizontal ternary tree split, or vertical ternary tree split. A CTU dual tree for intra-coded slices is described on top of the new block partitioning structure, allowing separate coding trees for luma and chroma. Also, a new way of handling picture boundaries is presented. Additionally, to reduce hardware decoder complexity, virtual pipeline data unit constraints are introduced, which forbid certain multi-type tree splits. Finally, a local dual tree is described, which reduces the number of small chroma intra blocks.

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“…The picture partitioning and the quantization steps used in VVC may cause coding artifacts such as block discontinuities, ringing artifacts, mosquito noise, or texture and edge smoothing. Four in-loop filters are thus defined in VVC to alleviate these artifacts and enhance the overall coding efficiency [26]. The VVC in-loop filters are deblocking filter (DBF), sample adaptive offset (SAO), adaptive loop filter (ALF) and crosscomponent adaptive loop filtering (CC-ALF).…”

Section: E In-loop Filtersmentioning

confidence: 99%

Versatile Video Coding Standard: A Review from Coding Tools to Consumers Deployment

Hamidouche¹,

Biatek²,

Abdoli³

et al. 2021

Preprint

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The amount of video content and the number of applications based on multimedia information increase each day. The development of new video coding standards is a challenge to increase the compression rate and other important features with a reasonable increase in the computational load. Video Experts Team (JVET) of ITU-T and the JCT group within ISO/IEC have worked together to standardize the Versatile Video Coding, approved finally in July 2020 as ITU-T H.266 -MPEG-I -Part 3 (ISO/IEC 23090-3) standard. This paper overviews some interesting consumer electronic use cases, the compression tools described in the standard, the current available real time implementations and the first industrial trials done with this standard.

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VVC In-Loop Filters

Cited by 77 publications

References 11 publications

High-Efficiency Lossy Image Coding Through Adaptive Neighborhood Information Aggregation

High-Efficiency Lossy Image Coding Through Adaptive Neighborhood Information Aggregation

Block Partitioning Structure in the VVC Standard

Versatile Video Coding Standard: A Review from Coding Tools to Consumers Deployment

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