Adaptive image compression system based on TMS320C6713

Shuling Li, Baojun Zhao, Linbo Tang, Meiping Ji

Research output: Contribution to conferencePaperpeer-review

Abstract

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.

Original languageEnglish
Publication statusPublished - 2015
EventIET International Radar Conference 2015 - Hangzhou, China
Duration: 14 Oct 201516 Oct 2015

Conference

ConferenceIET International Radar Conference 2015
Country/TerritoryChina
CityHangzhou
Period14/10/1516/10/15

Keywords

  • Adaptive compression ratio
  • JPEG2000
  • TMS320C6713 platform

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