Fast image compression based on CUDA

To further improve the coding efficiency of JPEG,the JPEG compression algorithm is researched. And the core steps in JPEG can be drawn parallel processing,which should be implemented on GPU,which has an advantage in parallel computing,but not on CPU,which has an advantage in sequential computing. CUDA (compute unified device architecture) launched by NVIDIA provides a hardware and software environment to accomplish the aim. CUDA is based on the GPU for general-purpose computing development platform and suitable for large-scale parallel data computing. Under the stream processor architecture on GPU,Using CUDA to implement the parallel processing of the JPEG compression algorithm,And according to the features of stream processor architecture,doing opti-mization on aspects of reading and writing memory,to improve the speed. The result of experiments indicates that the CUDA technology has the advantages of parallel processing and the efficiency of JPEG encoding is improved greatly.