Block-Adaptive Lattice Vector Quantization in Image Coding

Lattice Vector Quantization for Image Coding Using Expansion of Codebook

We present a method for image coding which uses expansion of basic codebook, based on energy of the vectors, for assigning lattice points to the incoming vectors. Two expansions of the basic codebook are used. Since in this method range or radius of the codebooks is based on the energy of the vectors of input image, for different test images we get different basic and expansion codebooks. If th...

Adaptive Difference Compensation Vector Quantization Using Dynamic Image Block Adjustment

A method for image compression, adaptive difference compensation vector quantization using dynamic image block adjustment is proposed in this paper. Before image coding, this proposed method analyzes the similarity values between the encoding image sub-block and its 8-neighbor sub-blocks, then determines the encoding rule according to the similarity value and the preset threshold. If the simila...

Adaptive hierarchical vector quantization for image coding: new results

Adaptive Transform Coding as Constrained Vector Quantization

We investigate the application of local Principal Com ponent Analysis PCA to transform coding for xed rate image compression Local PCA transform coding adapts to di erences in correlations between signal components by partitioning the signal space into regions and compressing signal vectors in each region with a separate local transform coder Previous researchers optimize the signal space parti...

Image Vector Quantization for Interframe Coding Applications

In this paper, an interframe image coding via vector quantization (VQ) is considered. Here, we identify the moving vectors in each frame using a block matching technique. A prediction is estimated by searching in the direction of minimum distortion in the previous reconstructed frame, then the differential vectors are quantized via a modified VQ to achieve high compression. Simulations have sho...