Vector quantization and signal compression
Vector quantization and signal compression
Data Compressor for VQ Index Tables
Fundamenta Informaticae
A Novel Index Coding Scheme for Vector Quantization
Fundamenta Informaticae
Block Prediction Vector Quantization for Grayscale Image Compression
Fundamenta Informaticae
A fast LBG codebook training algorithm for vector quantization
IEEE Transactions on Consumer Electronics
Low complexity index-compressed vector quantization for image compression
IEEE Transactions on Consumer Electronics
Variable rate vector quantization scheme based on quadtree segmentation
IEEE Transactions on Consumer Electronics
Lossless compression of VQ index with search-order coding
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
A new dynamic finite-state vector quantization algorithm for image compression
IEEE Transactions on Image Processing
An efficient encoding algorithm for vector quantization based on subvector technique
IEEE Transactions on Image Processing
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A low bit rate image coding scheme based on vector quantization is proposed. In this scheme, the block prediction coding and the relative addressing techniques are employed to cut down the required bit rate of vector quantization. In block prediction coding, neighboring encoded blocks are taken to compress the current block if a high degree of similarity between them is existed. In the relative addressing technique, the redundancy among neighboring indices are exploited to reduce the bit rate. From the results, it is shown that the proposed scheme significantly reduces the bit rate of VQ while keeping good image quality of compressed images.