In order to accelerate the Discrete Wavelet Transform DWT, we have implemented and compared the lifting "Le Gall5/3" and "Cohen-Daubechies-Feauveau9/7" (CDF9/7) algorithms on a low cost NVIDIA’s GPU. The suggested implementation is realized in MatLab using the in-house parallel computation toolbox (PCT). Our experimental results indicate, that the speedup is proportional to the image size until it attains a maximum at 20482 pixels, beyond these values the curve decreases. The performance with GPU enhances above a factor of 2~3 compared with CPU
The release of the CUDA Kepler architecture in March 2012 has provided Nvidia GPUs with a larger reg...
In this brief, we propose a new parallel lifting-based 2-D DWT architecture with high memory efficie...
Abstract—The release of the CUDA Kepler architecture in March 2012 has provided Nvidia GPUs with a l...
The Discrete Wavelet Transform (DWT) has a wide range of applications from signal processing to vide...
The Discrete Wavelet Transform (DWT) has a wide range of applications from signal processing to vide...
The DiscreteWavelet Transform (DWT) has a wide range of applications from signal processing to video...
The Discrete Wavelet Transform (DWT) has a wide range of applications from signal processing to vide...
Discrete wavelet transform (DWT) has been widely used in many image compression applications, such a...
Discrete wavelet transform (DWT) is being broadly used in processing digital image, but the large re...
The discrete wavelet transform (DWT) has been extensively studied and developed in various scientifi...
Discrete wavelet transform (DWT) has shown great performance in digital image compression and denois...
Discrete Wavelet Transform (DWT) is increasingly recognized in image/video compression standards, as...
The 2-D discrete wavelet transform (DWT) can be found in the heart of many image-processing algorith...
The release of the CUDA Kepler architecture in March 2012 has provided Nvidia GPUs with a larger reg...
In this brief, we propose a new parallel lifting-based 2-D DWT architecture with high memory efficie...
Abstract—The release of the CUDA Kepler architecture in March 2012 has provided Nvidia GPUs with a l...
The Discrete Wavelet Transform (DWT) has a wide range of applications from signal processing to vide...
The Discrete Wavelet Transform (DWT) has a wide range of applications from signal processing to vide...
The DiscreteWavelet Transform (DWT) has a wide range of applications from signal processing to video...
The Discrete Wavelet Transform (DWT) has a wide range of applications from signal processing to vide...
Discrete wavelet transform (DWT) has been widely used in many image compression applications, such a...
Discrete wavelet transform (DWT) is being broadly used in processing digital image, but the large re...
The discrete wavelet transform (DWT) has been extensively studied and developed in various scientifi...
Discrete wavelet transform (DWT) has shown great performance in digital image compression and denois...
Discrete Wavelet Transform (DWT) is increasingly recognized in image/video compression standards, as...
The 2-D discrete wavelet transform (DWT) can be found in the heart of many image-processing algorith...
The release of the CUDA Kepler architecture in March 2012 has provided Nvidia GPUs with a larger reg...
In this brief, we propose a new parallel lifting-based 2-D DWT architecture with high memory efficie...
Abstract—The release of the CUDA Kepler architecture in March 2012 has provided Nvidia GPUs with a l...