High-speed closest codeword search algorithms for vector quantization
Signal Processing
Pattern Recognition Letters
High-capacity image hiding scheme based on vector quantization
Pattern Recognition
Vector quantization of images with variable block size
Applied Soft Computing
Steganography using overlapping codebook partition
Signal Processing
Fast VQ codebook search algorithm for grayscale image coding
Image and Vision Computing
New Bit Reduction of Vector Quantization Using Block Prediction and Relative Addressing
Fundamenta Informaticae
Recover the tampered image based on VQ indexing
Signal Processing
High capacity SMVQ-based hiding scheme using adaptive index
Signal Processing
Computation of the complexity of vector quantizers by affine modeling
Signal Processing
An adaptive image authentication scheme for vector quantization compressed image
Journal of Visual Communication and Image Representation
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
A Novel Index Coding Scheme for Vector Quantization
Fundamenta Informaticae
| Hi-index | 0.08 |
A novel image coding scheme based on vector quantization (VQ) is proposed in this paper. The goal of the proposed scheme is to provide better image qualities of the compressed grayscale images while keeping low bit rates. To achieve the goal, the encoding of the inverse image block is cooperated with the VQ scheme. In addition, the lossless index coding process is employed in the proposed scheme to cut down the required bit rates. From the results, it is shown that the proposed scheme achieves better image qualities than VQ while keeping low bit rates.