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Compound Image Compression with Multi-step Text Extraction Method

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3 Author(s)
Xi Qi ; Univ. of Michigan-SJTU Joint Inst., Shanghai Jiao Tong Univ., Shanghai, China ; Xing Wu ; Shensheng Zhang

Texts appearing on compound image are usually classified into scene text and imposed text. Imposed text, like scripts in videos, slogans in advertisements and titles in magazine covers, contains important information. In this paper, a multistep compression method that could preserve imposed text quality in restored image is presented. The method separates imposed text from background and compresses the two with different schemes. Experiment results show satisfying text-image separation could be achieved, and clear texts could be restored under high compression ratio.

Published in:

Intelligent Information Hiding and Multimedia Signal Processing, 2009. IIH-MSP '09. Fifth International Conference on

Date of Conference:

12-14 Sept. 2009