Paper
23 June 2003 Scan order and quantization for 3D-DCT coding
Author Affiliations +
Proceedings Volume 5150, Visual Communications and Image Processing 2003; (2003) https://doi.org/10.1117/12.503324
Event: Visual Communications and Image Processing 2003, 2003, Lugano, Switzerland
Abstract
Two types of coders dominate the field of video compression research today: well-established hybrid coders, that are in the core of all MPEG and H.26X standards, and emerging three-dimensional (3D) subband coders, largely inspired by the success of wavelet-based still image compression. However, there are surprisingly few results reported on 3D Discrete Cosine Transform (DCT) based transform coders. Even while exploiting all the benefical properties of the DCT itself (forward/inverse symmetry, fast separable implementation, and excellent energy compaction), these coders under-perform when compared to competing hybrid coders primarily due to ineffcient quantization, scanning and entropy coding used. In this paper, we study means of improving 3D-DCT coding by proposing adaptive scanning order and quantization of coeffcients that are better matched to 3D-DCT spectrum of a motion sequence. Our results show signifcant improvement in performance over previously reported techniques.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Nikola Bozinovic and Janusz Konrad "Scan order and quantization for 3D-DCT coding", Proc. SPIE 5150, Visual Communications and Image Processing 2003, (23 June 2003); https://doi.org/10.1117/12.503324
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Cited by 15 scholarly publications.
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KEYWORDS
Quantization

Convolution

Motion estimation

3D image processing

3D scanning

3D modeling

Motion models

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