Fast self-adaptive compression method for infrared thermal image

Xinyi Luo; Lianfa Bai; Qian Chen; Baomin Zhang

doi:10.1117/12.481620

30 August 2002 Fast self-adaptive compression method for infrared thermal image

Xinyi Luo, Lianfa Bai, Qian Chen, Baomin Zhang

Proceedings Volume 4925, Electronic Imaging and Multimedia Technology III; (2002) https://doi.org/10.1117/12.481620
Event: Photonics Asia, 2002, Shanghai, China

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.

Citation Download Citation

Xinyi Luo, Lianfa Bai, Qian Chen, and Baomin Zhang "Fast self-adaptive compression method for infrared thermal image", Proc. SPIE 4925, Electronic Imaging and Multimedia Technology III, (30 August 2002); https://doi.org/10.1117/12.481620

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available