DocumentCode :
2749037
Title :
A FPGA implementation of JPEG baseline encoder for wearable devices
Author :
Yuecheng Li ; Wenyan Jia ; Bo Luan ; Zhi-Hong Mao ; Hong Zhang ; Mingui Sun
Author_Institution :
Dept. of Neurological Surg., Univ. of Pittsburgh, Pittsburgh, PA, USA
fYear :
2015
fDate :
17-19 April 2015
Firstpage :
1
Lastpage :
2
Abstract :
In this paper, an efficient field-programmable gate array (FPGA) implementation of the JPEG baseline image compression encoder is presented for wearable devices in health and wellness applications. In order to gain flexibility in developing FPGA-specific software and balance between real-time performance and resources utilization, A High Level Synthesis (HLS) tool is utilized in our system design. An optimized dataflow configuration with a padding scheme simplifies the timing control for data transfer. Our experiments with a system-on-chip multi-sensor system have verified our FPGA implementation with respect to real-time performance, computational efficiency, and FPGA resource utilization.
Keywords :
body sensor networks; data compression; field programmable gate arrays; image coding; lab-on-a-chip; medical image processing; FPGA implementation; FPGA-specific software; JPEG baseline image compression encoder; field-programmable gate array implementation; health-and-wellness applications; high level synthesis tool; padding scheme; system-on-chip multisensor system; wearable devices; Biomedical monitoring; Cameras; Clocks; Discrete cosine transforms; Field programmable gate arrays; Image coding; Transform coding; JPEG; efficient implementation; health and wellness; high level synthesis; parallel computing; wearable devices;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Engineering Conference (NEBEC), 2015 41st Annual Northeast
Conference_Location :
Troy, NY
Print_ISBN :
978-1-4799-8358-2
Type :
conf
DOI :
10.1109/NEBEC.2015.7117173
Filename :
7117173
Link To Document :
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