Title :
Optimize ASIC design by statistics analysis and fixed parameter for special-imagery compression
Author :
Xu Xinfeng ; Hei Yong
Author_Institution :
ASIC & Syst. Dept., CAS, Beijing, China
Abstract :
Medical imagery needs the function of lossless compression to minimize image size to facilitate transmitting and storage. With high-speed and high-efficiency characteristics, FELICS algorithm has potential capability to do this job well. The research in this paper is not only based on FELICS algorithm, but also explores a practical method of fixing one of FELICS´s dynamic parameters as constant to optimize its ASIC implementation for special medical imagery. That is, toggling this key parameter of Rice coding in FELICS to a fixed value is able to save chip´s hardware resources, like die area, power consumption and computational workload. More important in this process is applying statistics analysis on real images to choose the biggest-probability value for it. At last, the fixing-k method has been validated by excellent results.
Keywords :
application specific integrated circuits; biomedical optical imaging; endoscopes; image coding; medical image processing; statistical analysis; ASIC design; FELICS algorithm; Rice coding; computational workload; die area; fixing-k method; lossless compression; medical imagery; optimization; power consumption; special-imagery compression; statistics analysis; Algorithm design and analysis; Application specific integrated circuits; Biomedical imaging; Endoscopes; Heuristic algorithms; Image coding; Pixel; ASIC implementation; FELICS algorithm; Lossless Compression; Statistics Analysis;
Conference_Titel :
Biomedical Engineering and Informatics (BMEI), 2010 3rd International Conference on
Conference_Location :
Yantai
Print_ISBN :
978-1-4244-6495-1
DOI :
10.1109/BMEI.2010.5639514