| Autor: | R.D. Dony, Simon Haykin, Nanda Kambhatla |
|---|---|
| Rok vydání: | 1998 |
| Předmět: |
Discrete wavelet transform
Computer science business.industry Stationary wavelet transform ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Vector quantization Wavelet transform Pattern recognition Data_CODINGANDINFORMATIONTHEORY Astrophysics::Cosmology and Extragalactic Astrophysics Lossy compression Mathematics::Algebraic Geometry Wavelet Computer Science::Computer Vision and Pattern Recognition Signal Processing Artificial intelligence Electrical and Electronic Engineering Harmonic wavelet transform business S transform Continuous wavelet transform Information Systems Image compression |
| Zdroj: | The Journal of VLSI Signal Processing. 18:287-296 |
| ISSN: | 0922-5773 |
| Popis: | In this paper, we present preliminary results comparing the nature of the errors introduced by the mixture of principal components (MPC) model with a wavelet transform and the Karhunen Loeve transform (KLT) for the lossy compression of brain magnetic resonance (MR) images. MPC, wavelets and KLT were applied to image blocks in a block transform coding scheme. The MPC model partitions the space of image blocks into a set of disjoint classes and computes a separate KLT for each class. In our experiments, though both the wavelet transform and KLT obtained a higher peak signal to noise ratio (PSNR) than MPC, according to radiologists, MPC preserved the texture and boundaries of gray and white matter better than the wavelet transform or KLT. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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