Mr. Xiongwen Li Profile

Xiongwen Li

at Loughborough Univ

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Proceedings Article | 19 January 2006 Paper

Shape adaptive integer transform for coding arbitrarily shaped objects in H.264/AVC

Xiongwen Li, Eran Edirisinghe, Helmut Bez

Proceedings Volume 6077, 60770C (2006) https://doi.org/10.1117/12.642320

KEYWORDS: Information technology, Image compression, Quantization, Image quality, Computer programming, Video coding, Visualization, Discrete wavelet transforms, Standards development, Visual compression

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The use of shape-adaptive transforms is a popular approach for coding arbitrarily shaped objects in image/video coding due to their adaptability at object edges and low complexity. In this respect shape adaptive DCT (SA-DCT) and shape adaptive DWT (SA-DWT) have been proposed in previous literature. The Integer Transform (IT), a derivative of the 4x4 DCT, has been adopted in the latest H.264/AVC standard for coding image blocks in residual data (texture). The associated integer arithmetic guarantees fast and accurate coding/decoding. In this paper, we propose a novel Shape Adaptive Integer Transform (SA-IT) which can be effectively used in future for enabling arbitrary shaped object coding in H.264. Though Integer Transforms are a derivative of 4x4 DCTs, in H.264, to maintain integer arithmetic capability, the post-and pre-scaling factors of transform process are integrated into the forward and inverse quantiser stages respectively for reducing the total number of multiplications and avoiding the loss of accuracy. Thus SA-IT considerably differs from SA-DCT and calls for novel design and implementation considerations based on combining those merits of both SA-DCT and IT. We provide theoretical proofs and support them with experimental justifications.

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