In this paper a new approach for adaptive wavelet image coding is introduced. Based on an adaptive quadtree image-block partition (similar to fractal coding) the different image blocks may be compressed independently in an adaptive manner. In order to adapt to local image statistics and features we present several possibilities how to optimize the transform part of a wavelet image block-coder. Additionally we present a parallel algorithm suitable for MIMD architectures for efficient implementation of the proposed method. Finally experimental results concerning coding efficiency and execution time on a cluster of workstations are described. Keywords: image compression, wavelets, parallel algorithms, adaptive coding 1 INTRODUCTION In recent...
With the emergence of objectbased image coding standards and the successful use of adaptive image co...
We propose an embedded, block-based, image wavelet transform coding algorithm of low complexity. It ...
Recently, there have been intense research activities in the theory of wavelets, driven by its appli...
New schemes for classification of images are suggested. An application of these methods in adaptive ...
We introduce a novel, adaptive image representation using spatially varying wavelet packets (WPs), O...
In this dissertation, we investigate the design of image and video compression algorithms by using a...
In this dissertation, we investigate the design of image and video compression algorithms by using a...
A variety of new and powerful algorithms have been developed for image compression over the years. A...
In this dissertation, we investigate the design of image and video compression algorithms by using a...
In this dissertation, we study the problem of image compression for storage and transmission applica...
This thesis presents a new image coding using wavelet transform and adaptive block truncation coding...
AbstractIn this paper, a new family of multiband wavelets with a parameter λ is introduced for image...
This paper presents a new method for an efficient coding of image data. Based on the wavelet transfo...
This paper presents image compression with wavelet based method. The wavelet transformation divides ...
Wavelet transforms are multiresolution decompositions that can be used to analyze signals and images...
With the emergence of objectbased image coding standards and the successful use of adaptive image co...
We propose an embedded, block-based, image wavelet transform coding algorithm of low complexity. It ...
Recently, there have been intense research activities in the theory of wavelets, driven by its appli...
New schemes for classification of images are suggested. An application of these methods in adaptive ...
We introduce a novel, adaptive image representation using spatially varying wavelet packets (WPs), O...
In this dissertation, we investigate the design of image and video compression algorithms by using a...
In this dissertation, we investigate the design of image and video compression algorithms by using a...
A variety of new and powerful algorithms have been developed for image compression over the years. A...
In this dissertation, we investigate the design of image and video compression algorithms by using a...
In this dissertation, we study the problem of image compression for storage and transmission applica...
This thesis presents a new image coding using wavelet transform and adaptive block truncation coding...
AbstractIn this paper, a new family of multiband wavelets with a parameter λ is introduced for image...
This paper presents a new method for an efficient coding of image data. Based on the wavelet transfo...
This paper presents image compression with wavelet based method. The wavelet transformation divides ...
Wavelet transforms are multiresolution decompositions that can be used to analyze signals and images...
With the emergence of objectbased image coding standards and the successful use of adaptive image co...
We propose an embedded, block-based, image wavelet transform coding algorithm of low complexity. It ...
Recently, there have been intense research activities in the theory of wavelets, driven by its appli...