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Proceedings Paper

Fast self-adaptive compression method for infrared thermal image
Author(s): Xinyi Luo; Lianfa Bai; Qian Chen; Baomin Zhang
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Paper Abstract

In this paper, a self-adaptive method is designed to compress infrared thermal image fast. This method adopts three techniques and mainly includes two steps. Firstly, we make use of infrared thermal image's faint visual effect to cut down data quantity and increase compression ratio to a higher level. We decrease the image's resolution from 8 bits-per-pixel to 5 bits-per-pixel. Secondly, improved Run Length Coding (RLC) is applied to realize further compression. Judging threshold is introduced to overcome traditional RLC's disadvantage of low compression ratio. This judging threshold is decided by the statistic of structure abundance degree of the specific image, thus this method is self-adaptive. At the same time, the introduction of threshold makes it possible to adjust the compression ratio and the reconstructed image quality. In order to shorten processing time, interlaced pixel statistic is adopted in calculating structure abundance degree instead of usual means of the whole image statistic. Coding results prove that this novel compression method has good performance and is suitable for infrared thermal image coding.

Paper Details

Date Published: 30 August 2002
PDF: 5 pages
Proc. SPIE 4925, Electronic Imaging and Multimedia Technology III, (30 August 2002); doi: 10.1117/12.481620
Show Author Affiliations
Xinyi Luo, Nanjing Univ. of Science and Technology (China)
Lianfa Bai, Nanjing Univ. of Science and Technology (China)
Qian Chen, Nanjing Univ. of Science and Technology (China)
Baomin Zhang, Nanjing Univ. of Science and Technology (China)

Published in SPIE Proceedings Vol. 4925:
Electronic Imaging and Multimedia Technology III
LiWei Zhou; Chung-Sheng Li; Yoshiji Suzuki, Editor(s)

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