Title :
MatLab acceleration for DWT “Daubechies 9/7” for JPEG2000 standard on GPU
Author :
Khemiri, Randa ; Sayadi, Fatma ; Atri, Mohamed ; Tourki, Rached
Author_Institution :
Lab. of Electron. & Microelectron., Univ. of Monastir, Monastir, Tunisia
Abstract :
Discrete wavelet transform (DWT) has diverse applications in signal and image processing fields. In this paper, we have implemented the lifting “Cohen-Daubechies-Feauveau 9/7” algorithm on a low cost NVIDIA´s GPU (Graphics Processing Unit) with MatLab to achieve speedup in computation. The efficiency of our GPU based implementation is measured and compared with CPU based algorithms. Our investigational results with GPU show performance enhancement over a factor of 1.82 compared with CPU for an image of size 4096×4096 pixels.
Keywords :
discrete wavelet transforms; graphics processing units; image coding; image enhancement; Cohen-Daubechies-Feauveau 9/7 algorithm; DWT; GPU; JPEG2000 standard; Joint Photographic Experts Group; MatLab acceleration; discrete wavelet transform; graphics processing unit; performance enhancement; Computer architecture; Discrete wavelet transforms; Graphics processing units; IEC standards; Image coding; MATLAB; Transform coding; Discrete Wavelet Transform (DWT); Graphics processing unit (GPU); MatLab; parallel computing;
Conference_Titel :
Computer & Information Technology (GSCIT), 2014 Global Summit on
Conference_Location :
Sousse
Print_ISBN :
978-1-4799-5626-5
DOI :
10.1109/GSCIT.2014.6970112
