High-quality initial codebook design method of vector quantisation using grouping strategy
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Summary
The proposed method utilises both the mean characteristic value and variance characteristic value of training vectors to divide the training vectors into groups and has a better performance in the initial codebook than that of the related methods.
- Type
- article
- Published
- 2015-07-10
- Cited by
- 8
- References
- 22
- Access
- Open access
- OpenAlex
- https://openalex.org/W2293149949
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:23928216
Keywords
Codebook, Linde–Buzo–Gray algorithm, Computer science, Vector quantization, Quality (philosophy)
References
- Evolutionary fuzzy particle swarm optimization vector quantization learning scheme in image compression
- Fast codebook design of vector quantisation
- Lossless data hiding for VQ indices based on neighboring correlation
- Improved fast LBG training algorithm in Hadamard domain
- Low bit-rate information hiding method based on search-order-coding technique
- Codebook Design for Vector Quantization Based on a Kernel Fuzzy Learning Algorithm
- A fast VQ codebook generation algorithm using codeword displacement
- An Efficient Codebook Initialization Approach for LBG Algorithm
- A fast VQ codebook generation algorithm via pattern reduction
- An effective codebook initialization technique for LBG algorithm using subtractive clustering
- PREACO: A fast ant colony optimization for codebook generation
- A Novel Joint Data-Hiding and Compression Scheme Based on SMVQ and Image Inpainting
- Image coding using vector quantization: a review
- Competitive splitting for codebook initialization
- A new initialization technique for generalized Lloyd iteration
- Design of vector quantizer for image compression using self-organizing feature map and surface fitting
- An Algorithm for Vector Quantizer Design
- Initial codebook method of vector quantisation in Hadamard domain
- A new vector quantization clustering algorithm
- Fast match-based vector quantization partial discharge pulse pattern recognition
Cited by
- DENDIS: A new density-based sampling for clustering algorithm
- A highly efficient method for improving the performance of GLA-based algorithms
- ProTraS: A probabilistic traversing sampling algorithm
- Scaling up virtual MIMO systems
- Ideal Huffman Code for Lossless Image Compression for Ubiquitous Access
- A Fast and Efficient Lossless Compression Technique for Greyscale Images
- On the Initialization of Swarm Intelligence Algorithms for Vector Quantization Codebook Design
- A Family of Unsupervised Sampling Algorithms
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