DCC '00 Proceedings of the Conference on Data Compression
An efficient bit allocation for compressing normal meshes with an error-driven quantization
Computer Aided Geometric Design - Special issue: Geometry processing
An efficient bit allocation for compressing normal meshes with an error-driven quantization
Computer Aided Geometric Design - Special issue: Geometry processing
Distributed video coding with trellis coded quantization
MMM'07 Proceedings of the 13th International conference on Multimedia Modeling - Volume Part II
Rate Control Algorithms for Non-Embedded Wavelet-Based Image Coding
Journal of Signal Processing Systems
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A new form of trellis coded quantization based on uniform quantization thresholds and “on-the-fly” quantizer training is presented. The universal trellis coded quantization (UTCQ) technique requires neither stored codebooks nor a computationally intense codebook design algorithm. Its performance is comparable with that of fully optimized entropy-constrained trellis coded quantization (ECTCQ) for most encoding rates. The codebook and trellis geometry of UTCQ are symmetric with respect to the trellis superset. This allows sources with a symmetric probability density to be encoded with a single variable-rate code. Rate allocation and quantizer modeling procedures are given for UTCQ which allow access to continuous quantization rates. An image coding application based on adaptive wavelet coefficient subblock classification, arithmetic coding, and UTCQ is presented. The excellent performance of this coder demonstrates the efficacy of UTCQ. We also present a simple scheme to improve the perceptual performance of UTCQ for certain imagery at low bit rates. This scheme has the added advantage of being applied during image decoding, without the need to reencode the original image