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Image compression on a VLSI neural-based vector quantizer
Oscal T.C. Chen
*
, Bing J. Sheu,
Wai-Chi Fang
*
此作品的通信作者
電子研究所
研究成果
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引文 斯高帕斯(Scopus)
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Keyphrases
Image Compression
100%
Vector Quantizer
100%
Neural Basis
100%
CMOS Technology
50%
Vector Quantization
50%
Neuroprocessor
50%
Self-organizing Networks
50%
Compression Ratio
25%
Silicon Area
25%
Workstation
25%
Codebook
25%
Mixed-signal
25%
Near-optimal
25%
Prototype chip
25%
Trainable
25%
Non-self
25%
Speedup Ratio
25%
VLSI Architecture
25%
Time Complexity
25%
Code Vector
25%
Fully Parallel
25%
Self-organizing Algorithm
25%
Inner Product
25%
Learning Methods
25%
Centroid
25%
High Ratio
25%
Level Design
25%
Computing Capabilities
25%
Winner-take-all
25%
Neural Unit
25%
Ratio Image
25%
Parallel Vectors
25%
Speed Ratio
25%
Industrial Level
25%
Time-adaptive
25%
Upper Threshold
25%
Pixel Image
25%
Engineering
Vector Quantization
100%
Self-Organization
100%
Compression Ratio
33%
Code Book
33%
Dimensional Vector
33%
Code Vector
33%
Neural Unit
33%
Mixed-Signal Chip
33%
Speed Ratio
33%
Computer Science
Image Compression
100%
Vector Quantizer
100%
Vector Quantization
75%
Time Complexity
25%
Compression Ratio
25%
Very large-scale integration (VLSI) architecture
25%
Dimensional Vector
25%