A novel approach to variable dimension vector quantization of harmonic magnitudes

2004 ◽  
Author(s):  
W.C. Chu
Keyword(s):  
Vector Quantization ◽  
Dimension Vector ◽  
Variable Dimension ◽  
Novel Approach

scholarly journals DESIGN OF NEURO-WAVELET BASED VECTOR QUANTIZER FOR IMAGE COMPRESSION

2011 ◽  
pp. 50-57
Author(s):  
Rasmita Lenka ◽  
Swagatika Padhi ◽  
Minakshee Behera ◽  
Naresh Patnaik ◽  
Mihir N. Mohanty
Keyword(s):  
Image Compression ◽  
Vector Quantization ◽  
Image Data ◽  
Vector Spaces ◽  
Storage Space ◽  
Higher Dimension ◽  
Dimension Vector ◽  
Vector Quantizer ◽  
Novel Approach ◽  
Minimum Distortion

This paper presents a novel approach to design a vector quantizer for image compression. Compression of image data using Vector Quantization (VQ) will compare Training Vectors with Codebook that has been designed. The result is an index of position with minimum distortion. Moreover it provides a means of decomposition of the signal in an approach which takes the improvement of inter and intra band correlation as more lithe partition for higher dimension vector spaces. Thus, the image is compressed without any loss of information. It also provides a comparative study in the view of simplicity, storage space, robustness and transfer time of various vector quantization methods. In addition the proposed paper also presents a survey on different methods of vector quantization for image compression and application of SOFM.

Variable-dimension vector quantization

1996 ◽  
Vol 3 (7) ◽  
pp. 200-202 ◽  
Author(s):  
A. Das ◽  
A.V. Rao ◽  
A. Gersho
Keyword(s):  
Vector Quantization ◽  
Dimension Vector ◽  
Variable Dimension
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