Title
Using checksum to reduce power consumption of display systems for low-motion content
Abstract
Power consumption of the display subsytem has been a relatively less explored area compared to other components of a mobile device including computing, storage, and networking units, although the former often constitutes one of the most power-hungry portions of the system. Typical applications on a mobile device such as Web browsing and text editing tend to have rather static image content; each frame hardly changes from the previous one. Efficiently detecting and handling no-motion scenarios is thus critical to extend the battery life. This paper focuses on image change detection. We propose to use checksum to detect image changes. Specifically, CRC hardware is used to optimize the power consumption of (1) refresh of a local display and (2) data compression for wireless remote display. Compared with a traditional, pixel-by-pixel comparison approach, using checksum for image change detection is not only fast, but also reduces accesses to the frame buffer, resulting in significant power savings. We have built a FPGA prototype to verify that CRC can capture image changes well enough to ensure a ¿visually lossless¿ quality.
Year
DOI
Venue
2009
10.1109/ICCD.2009.5413176
ICCD
Keywords
Field
DocType
optimisation,wireless remote display,mobile handsets,power aware computing,image change,image processing,power consumption,mobile device,battery management systems,image change detection,local display,crc hardware,significant power saving,data compression,low-motion content,display subsytem,display systems,display system,optimization,fpga,static image content,web browsing,field programmable gate arrays,liquid crystal displays,mobile computing,cyclic redundancy check codes,encoding,change detection,hardware,pixel,detectors
Mobile computing,Checksum,Change detection,Computer science,Image processing,FPGA prototype,Real-time computing,Mobile device,Data compression,Computer hardware,Lossless compression
Conference
ISSN
ISBN
Citations 
1063-6404 E-ISBN : 978-1-4244-5028-2
978-1-4244-5028-2
2
PageRank 
References 
Authors
0.37
9
6
Name
Order
Citations
PageRank
Kyungtae Han1555.28
Zhen Fang2917.62
Paul Diefenbaugh3261.73
Richard Forand420.37
Ravi Iyer513012.34
Don Newell651232.67