Add to ORKGMany filtering and feature extraction algorithms use wavelet or related multiscale representations of volume data for edge detection and processing. Due to the computational complexity of these approaches no interactive visualization of the extraction process is possible nowadays. Using the hardware of modern graphics workstations for wavelet decomposition and reconstruction is a first important step for removing lags in the visualization cycle.
In this thesis we investigated several advanced techniques in visualization of large data sets, mult...
The programmability and texture support of consumer graphics accelerators have drawn a lot of attent...
The sense of being within a three-dimensional (3D) space and interacting with virtual 3D objects in ...
Many filtering and feature extraction algorithms use wavelet or related multiscale representations o...
Abstract. Wavelets and related multiscale representations are important means for edge detection and...
Abstract. Wavelets and related multiscale representations are important means for edge detection and...
International audienceImages from embedded sensors need digital processing to recover high-quality i...
We consider multiresolution visualization of large volume data sets based on wavelets. Starting from...
The wavelet transform is used for several applications including signal enhancement, compression (e....
13. ABSTRACT (Maximum 200 wonfs) This project consists of two parts: applications of wavelet transfo...
This paper describes a novel method for edge feature detection of document images based on wavelet d...
The low level components of a new raster graphics architecture have proven to have novel uses in ima...
We consider multiresolution visualization of large volume data sets based on wavelets. Starting from...
The sense of being within a three-dimensional space and interacting with virtual three-dimensional (...
Both from a mathematical as well as a biological perspective, Wavelet transforms present themselves ...
In this thesis we investigated several advanced techniques in visualization of large data sets, mult...
The programmability and texture support of consumer graphics accelerators have drawn a lot of attent...
The sense of being within a three-dimensional (3D) space and interacting with virtual 3D objects in ...
Many filtering and feature extraction algorithms use wavelet or related multiscale representations o...
Abstract. Wavelets and related multiscale representations are important means for edge detection and...
Abstract. Wavelets and related multiscale representations are important means for edge detection and...
International audienceImages from embedded sensors need digital processing to recover high-quality i...
We consider multiresolution visualization of large volume data sets based on wavelets. Starting from...
The wavelet transform is used for several applications including signal enhancement, compression (e....
13. ABSTRACT (Maximum 200 wonfs) This project consists of two parts: applications of wavelet transfo...
This paper describes a novel method for edge feature detection of document images based on wavelet d...
The low level components of a new raster graphics architecture have proven to have novel uses in ima...
We consider multiresolution visualization of large volume data sets based on wavelets. Starting from...
The sense of being within a three-dimensional space and interacting with virtual three-dimensional (...
Both from a mathematical as well as a biological perspective, Wavelet transforms present themselves ...
In this thesis we investigated several advanced techniques in visualization of large data sets, mult...
The programmability and texture support of consumer graphics accelerators have drawn a lot of attent...
The sense of being within a three-dimensional (3D) space and interacting with virtual 3D objects in ...