Title :
System-Level Energy Optimization for Error-Tolerant Image Compression
Author :
Kim, Se Hun ; Mukohopadhyay, Saibal ; Wolf, Marilyn
Author_Institution :
Electr. & Comput. Eng. Dept., Georgia Inst. of Technol., Atlanta, GA, USA
Abstract :
Based on the natural error tolerance of image and multimedia processing, aggressive voltage scaling has been considered for energy savings by trading off accuracy. However, aggressive voltage scaling in image compression may not reduce overall system energy consumption because of the reduction in the compression ratio. Based on the system-level analysis, we present an adaptive pixel and coefficient truncation technique to successfully reduce error rates so that we can achieve great energy savings without significant quality degradation. Our experimental results show that average energy savings of up to 40% can be realized at a trivial implementation cost.
Keywords :
energy consumption; fault tolerance; image coding; image resolution; optimisation; power aware computing; adaptive pixel; aggressive voltage scaling; coefficient truncation technique; error-tolerant image compression; system-level energy optimization; Degradation; Energy consumption; Energy dissipation; Error analysis; Image coding; Image quality; Multimedia systems; Propagation delay; Timing; Voltage; Aggressive voltage scaling; discrete cosine transform (DCT); low energy design;
Journal_Title :
Embedded Systems Letters, IEEE
DOI :
10.1109/LES.2010.2060467
