TY - CONF
T1 - Adaptive image compression system based on TMS320C6713
AU - Li, Shuling
AU - Zhao, Baojun
AU - Tang, Linbo
AU - Ji, Meiping
PY - 2015
Y1 - 2015
N2 - A novel adaptive real-time image compression framework based on TMS320C6713 is presented in this paper. Via analyzing image texture, different compression ratio is applied for reducing the code stream. Owing to its low-cost, highspeed and low power performances, C6713 is selected as the main processor of framework. Firstly, the original image is transformed through lifting wavelet transform algorithm. Then, the resultant transformed data is encoded with zero tree wavelet, thereby completing the compression of 320x256 image with input bandwidth 2.34MB/s and output bandwidth 100kB/s. Moreover, the experimental results demonstrate that the adaptive image ratio can reach 25:1 with PSNR 30 and frame frequency can achieve 25fps with a high-speed processor.
AB - A novel adaptive real-time image compression framework based on TMS320C6713 is presented in this paper. Via analyzing image texture, different compression ratio is applied for reducing the code stream. Owing to its low-cost, highspeed and low power performances, C6713 is selected as the main processor of framework. Firstly, the original image is transformed through lifting wavelet transform algorithm. Then, the resultant transformed data is encoded with zero tree wavelet, thereby completing the compression of 320x256 image with input bandwidth 2.34MB/s and output bandwidth 100kB/s. Moreover, the experimental results demonstrate that the adaptive image ratio can reach 25:1 with PSNR 30 and frame frequency can achieve 25fps with a high-speed processor.
KW - Adaptive compression ratio
KW - JPEG2000
KW - TMS320C6713 platform
UR - http://www.scopus.com/inward/record.url?scp=84973575496&partnerID=8YFLogxK
M3 - Paper
AN - SCOPUS:84973575496
T2 - IET International Radar Conference 2015
Y2 - 14 October 2015 through 16 October 2015
ER -