Chapter: Vector Quantization for Image Compression

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Home > New Soft Computing Techniques for System Modeling, Pattern Classification and Image Processing > Vector Quantization for Image Compression

New Soft Computing Techniques for System Modeling, Pattern Classification and Image Processing |

Leszek Rutkowski

Springer Berlin Heidelberg

New Soft Computing Techniques for System Modeling, Pattern Classification and Image Processing

Vector Quantization for Image Compression

Chapter Info

Authors

Leszek Rutkowski

ARI Id

1674219936498_4064321

Access

Not Available Free

Pages

169-177

DOI

10.1007/978-3-540-40046-2_7

Chapter URL

https://rd.springer.com/chapter/10.1007/978-3-540-40046-2_7

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Chapters/Headings	Author(s)	Pages	Info
Front Matter		i-xi
Introduction	Leszek Rutkowski	1-6
Front Matter		7-7
Kernel Functions for Construction of Probabilistic Neural Networks	Leszek Rutkowski	9-19
Introduction to Probabilistic Neural Networks	Leszek Rutkowski	21-57
General Learning Procedure in a Time-Varying Environment	Leszek Rutkowski	59-71
Generalized Regression Neural Networks in a Time-Varying Environment	Leszek Rutkowski	73-134
Probabilistic Neural Networks for Pattern Classification in a Time-Varying Environment	Leszek Rutkowski	135-167
Front Matter		168-168
Vector Quantization for Image Compression	Leszek Rutkowski	169-177
The DPCM Technique	Leszek Rutkowski	179-184
The PVQ Scheme	Leszek Rutkowski	185-191
Design of the Predictor	Leszek Rutkowski	193-202
Design of the Code-book	Leszek Rutkowski	203-216
Design of the PVQ Schemes	Leszek Rutkowski	217-239
Front Matter		168-168
A Family of the RLS Learning Algorithms	Leszek Rutkowski	241-281
Systolic Implementations of the RLS Learning Algorithms	Leszek Rutkowski	283-328
Back Matter		329-373
Chapters/Headings	Author(s)	Pages	Info

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