An adaptive vector quantizer based on the Gold-Washing method for image compression

1994 ◽  
Vol 4 (2) ◽  
pp. 143-157 ◽  
Author(s):  
O.T.-C. Chen ◽  
B.J. Sheu ◽  
Zhen Zhang
Keyword(s):  
Image Compression ◽  
Vector Quantizer ◽  
Washing Method

Fast codebook searching in a SOM-based vector quantizer for image compression

2007 ◽  
Vol 2 (1) ◽  
pp. 39-49 ◽  
Author(s):  
Arijit Laha ◽  
Bhabatosh Chanda ◽  
Nikhil R. Pal
Keyword(s):  
Image Compression ◽  
Vector Quantizer

scholarly journals A Hardware-Efficient Vector Quantizer Based on Self-Organizing Map for High-Speed Image Compression. Appl. Sci. 2017, 7, 1106

2019 ◽  
Vol 9 (7) ◽  
pp. 1377
Author(s):  
Zunkai Huang ◽  
Dai Suzuki ◽  
Xiangyu Zhang ◽  
Lei Chen ◽  
Yongxin Zhu ◽  
...  
Keyword(s):  
Image Compression ◽  
High Speed ◽  
Self Organizing Map ◽  
Vector Quantizer ◽  
Efficient Vector ◽  
Published Paper ◽  
Self Organizing

We, the authors, wish to make the following corrections to our published paper [...]

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.

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