Compression of IR Image Based on Wavelet Algorithm

Sheikh Md. Rabiul Islam, Xu Huang, Mingyu Liao

    Research output: Contribution to journalArticle

    Abstract

    In the research field of infrared imaging techniques, there is an important and popular technique that has enormous data to be stored and transmitted. Various algorithms have been proposed to improve the performance of the compression scheme. In this paper we extended a traditional wavelet algorithm to an image compression with updated technology and then compare its performance with others based on normal parameters. It is well known that lifting based Cohen-Daubechies-Feauveau wavelets with the low-pass filters of the length 9 and 7 (CDF 9/7) wavelet transform is very efficient and effective in image compression which coupled with Set Partition in Hierarchical Trees (SPIHT) coding algorithm and entropy coding techniques. One of our contributions in this paper is to demonstrate the choice of decomposition level is playing a very important role in achieving superior wavelet compression performances. Image quality is assessed objectively by parameters of compression ratio, peak signal-to-noise ratio (PSNR), mean structural similarity index (MSSIM). It is also evaluated subjectively by using perceived image quality. It needs to be highlighted that comparative the compression ratio has been significantly improved by 88%, together with highest PSNR values and MSSIM is close to 1 and found the best decomposition level and required bit rate per pixel for infrared (IR) images with our algorithm.
    Original languageEnglish
    Pages (from-to)77-84
    Number of pages8
    JournalInternational Journal of Computer Science and Network Security
    Volume12
    Issue number12
    Publication statusPublished - 2012

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    Infrared radiation
    Image compression
    Image quality
    Signal to noise ratio
    Decomposition
    Low pass filters
    Infrared imaging
    Wavelet transforms
    Entropy
    Pixels
    Imaging techniques

    Cite this

    Islam, Sheikh Md. Rabiul ; Huang, Xu ; Liao, Mingyu. / Compression of IR Image Based on Wavelet Algorithm. In: International Journal of Computer Science and Network Security. 2012 ; Vol. 12, No. 12. pp. 77-84.
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    Compression of IR Image Based on Wavelet Algorithm. / Islam, Sheikh Md. Rabiul; Huang, Xu; Liao, Mingyu.

    In: International Journal of Computer Science and Network Security, Vol. 12, No. 12, 2012, p. 77-84.

    Research output: Contribution to journalArticle

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