Title :
Improvement of adaptive fractal image coding on GPUs
Author :
Wakatani, Akiyoshi
Author_Institution :
Konan Univ., Konan, Japan
Abstract :
GPGPU (General Purpose computing on Graphic Processing Unit) attracts a great deal of attention, which is used for general-purpose computations like numerical calculations as well as graphic processing. In this paper, we implement adaptive fractal image coding algorithms on GPUs by using CUDA (Compute Unified Device Architecture) in order to achieve a given quality of a compressed image and evaluate the improved version of the coding algorithm by enhancing the occupancy of GPU cores.
Keywords :
adaptive codes; data compression; graphics processing units; image coding; parallel algorithms; parallel architectures; CUDA; GPGPU; GPU core occupancy; adaptive fractal image coding algorithm; compute unified device architecture; general purpose computing on graphic processing unit; image compression; parallel algorithm; Boats; Fractals; Graphics processing unit; Image coding; Indexes; PSNR; Vectors;
Conference_Titel :
Consumer Electronics (ICCE), 2012 IEEE International Conference on
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4577-0230-3
DOI :
10.1109/ICCE.2012.6161854
