Image Vector Quantization codec indexes filtering

Muliresolution, Adaptive Vector Quantization and Perceptual Based Multiview Image Codec

This paper presents a multiresolution adaptive vector quantization and perceptual based multiview image coding scheme. It decorrelates the input views into a number of subbands using a lifting based wavelet transform. The coefficients in the same subbands of different views are divided into vectors and then joined together. The resulting vectors are then vector quantized using an adaptive vecto...

Vector Quantization for Image Compression-Concept Quantization

Vector Quantization for Feature-Preserving Volume Filtering

In volume-rendering applications the input data is usually acquired by measuring some kind of physical property. The accuracy of the measurement strongly influences the quality of images produced by recent 3D visualization techniques. In practice, however, a high signal-to-noise ratio cannot always be ensured. For example, in virtual colonoscopy, CT scans are generated preferably at low radiati...

Vector Quantization Based Image Compression

An image compression method combining discrete wavelet transform (DWT) and vector quantization (VQ) is presented. First, a three-level DWT is performed on the original image resulting in ten separate sub bands. These sub bands are then vector quantized. VQ indices are Huffman coded to increase the compression ratio. Lloyd extended scalar quantization technique is used to design memory less vect...

Content-Based Image Retrieval Via Vector Quantization

Image retrieval and image compression are each areas that have received considerable attention in the past. In this work, we present an approach for content-based image retrieval (CBIR) using vector quantization (VQ). Using VQ allows us to retain the image database in compressed form without any need to store additional features for image retrieval. The hope is that encoding an image with a cod...