A new approach to compatible adaptive block-size transforms

Dong, Jie; Lou, Jian; Zhang, Cixun; Yu, Lu

doi:10.1117/12.631408

Cited by 8 publications

(3 citation statements)

References 4 publications

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“…Extended transforms means that the NxN transform as a part involves in the 2Nx2N transform [4]. Taking 4x4 and 8x8 transform as an example, if the 4x4 transform is expressed with (1), its extended 8x8 transform should be expressed as (2).…”

Section: The Extended Transforms Of Abtmentioning

confidence: 99%

Low-Complexity Adaptive Block-Size Transform Based on Extended Transforms

Gao

et al. 2006

2006 IEEE International Conference on Multimedia and Expo

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In this paper, a low-complexity 8x8/4x4 Adaptive Blocksize Transform (ABT) scheme is tentatively proposed for the Chinese Audio and Video coding Standard (AVS)1 . In the proposed ABT scheme, an integer 8x8 transform is derived from the integer 4x4 transform used in AVS according to a transform extension principle. The 8x8 transform not only has high energy compacted property but also can be merely implemented within several additions and shifts, and all intermediate results are limited with 16-bit. The 8x8 transform and 4x4 transform can be merged together and share the same scale matrix so that the hardware units and storage resources are efficiently saved for both encoder and decoder. The experimental results on numerous sequences show that the proposed ABT scheme can achieves significant performance improvement for AVS.

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Section: The Extended Transforms Of Abtmentioning

confidence: 99%

Low-Complexity Adaptive Block-Size Transform Based on Extended Transforms

Gao

et al. 2006

2006 IEEE International Conference on Multimedia and Expo

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“…Specifically, larger block-size based transforms could provide better energy compaction and better preservation of details, while smaller ones could prevent more ringing artifacts during compression [15]. Also we have shown its potential in exploiting HVS property during the development of spatial JND model for images [12].…”

Section: Introductionmentioning

confidence: 97%

Adaptive block-size transform based just-noticeable difference profile for videos

2010

Proceedings of 2010 IEEE International Symposium on Circuits and Systems

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In this paper, we propose a novel adaptive block-size transform (ABT) based just-noticeable difference (JND) model for videos. Firstly, the ABT-based spatial JND profile is extended to spatial-temporal JND model for videos by considering temporal contrast sensitivity function (TCSF), eye movement, and the motion information of the objects in video sequence. Furthermore, a metric named motion characteristics distance (MCD) is proposed to depict the motion characteristics similarity between a macroblock and its corresponding sub-blocks. Based on the proposed MCD and the obtained spatial image content information, a novel balanced strategy is proposed to determine which transform size is employed to generate the resulting JND model. Experimental results have demonstrated that our proposed scheme could tolerate more distortions while preserving better perceptual quality than other JND profiles, which means that the proposed model consists well with human vision system (HVS). Moreover, for the balanced strategy, experiments have shown that temporal motion characteristics accord very well with the spatial image content information, which has demonstrated the efficiency of our proposed balanced strategy.

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“…Recently Adaptive Block-size Transform (ABT) has attracted researchers' attention for its coding efficiency in image and video compression [19,20,27]. It will not only improve the coding efficiency but also provide subjective benefits, especially for High Definition (HD) movie sequences from the viewpoint of subtle texture preservation [34,35].…”

Section: Introductionmentioning

confidence: 99%