## Abstract A theoretical framework is presented for understanding the effects of noise on estimates of the eigenvalues and eigenvectors of the diffusion tensor at moderate to high signal‐to‐noise ratios. Image noise produces a random perturbation of the diffusion tensor. Power series solutions to
Theoretical analysis and reduction of the quantization noise effects in the SA-DCT
✍ Scribed by Emilio Carlos Acocella; Abraham Alcaim
- Publisher
- John Wiley and Sons
- Year
- 2004
- Tongue
- English
- Weight
- 212 KB
- Volume
- 14
- Category
- Article
- ISSN
- 0899-9457
No coin nor oath required. For personal study only.
✦ Synopsis
Abstract
We present a detailed mathematical analysis of two important problems in object‐based video coders that use shape‐adaptive discrete cosine transform (SA‐DCT). One is the annoying mean distortion effect caused by the quantization process and the other is the quantization noise dependence on the object shape (and not only on the quantizer characteristics). A general expression for the cross‐correlation matrix of the image error magnitude is presented, as well as one for the particular case of white quantization noise. In the latter case, four different implementation options are examined. We propose new strategies to minimize (or even eliminate) the two problems considered in our mathematical formulation. The results of our experiments show that the proposed scheme outperforms those obtained with other strategies described in the literature. © 2005 Wiley Periodicals, Inc. Int J Imaging Syst Technol, 14, 238–245, 2004; Published online in Wiley InterScience (www.interscience.wiley.com).DOI 10.1002/ima.20030
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