Higher quality of infrared images for future network security systems

Xu Huang, Sheikh Md. Rabiul Islam, Mingyu Liao, Shutao Li

Research output: A Conference proceeding or a Chapter in BookConference contribution

Abstract

It is well known that infrared (IR) imaging has been used extensively for various applications, in particularly in those dark conditions. Therefore, it has been widely employed in various tracking systems, in particularly, with the Internet of Things (IoT), sensors integrated with cloud computing, which makes IR even more popular for future networks. But various images, including IR images almost cannot avoid contaminations from various noises sources even when they were born. High quality images are particularly needed in those applications, especially for the security and military environments. In order to obtain a good quality of IR image for the future network security, in our current paper, it proposes a novel denoising algorithm based on Cohen-Daubechies-Feauveau wavelets followed by the low-pass filters with the length 9 and 7 (CDF 9/7) wavelet transform. In our algorithm, we first applied the lifting structure to improve the drawbacks of a traditional wavelet transform. As the normal wavelet transform appears to be restricted and limited for a class of opportunities of multi-scale representation of multi-dimensional signals to estimate the noise level and then remove them from original images, which is less efficient and effective. In contrast, our proposed algorithm in this paper is much efficient in estimating and reducing noises from the images contaminated by multi noises, such as Gaussian noise, Poisson noise, and impulse (Salt& pepper) noise. Experimental results on several tests for infrared images by using our algorithm are presented, as an example, under the noise with standard deviation σ = 0.2 and density = 20% cases, for peak signal to noise ratio (PSNR) increasing 14%; mean square error (MSE) our method decreasing 83%; and mean of structural similarity (MSSIM) increasing 67% under the same conditions. Obviously, the results strongly support the fact that our proposed algorithm is significantly superior to other related methods
Original languageEnglish
Title of host publication2013 16th International Symposium on Wireless Personal Multimedia Communications (WPMC 2013)
Place of PublicationUSA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages1-6
Number of pages6
Publication statusPublished - 2013
Event16th International Symposium on Wireless Personal Multimedia Communications, 2013 - Atlantic City, Atlantic City, United States
Duration: 24 Jun 201327 Jun 2013

Publication series

NameWireless Personal Multimedia Communications Conference, WPMC 2013
PublisherIEEE
Volume1
ISSN (Print)1347-6890
ISSN (Electronic)1882-5621

Conference

Conference16th International Symposium on Wireless Personal Multimedia Communications, 2013
CountryUnited States
CityAtlantic City
Period24/06/1327/06/13

Fingerprint

Network security
Security systems
Infrared radiation
Wavelet transforms
Low pass filters
Infrared imaging
Cloud computing
Mean square error
Image quality
Signal to noise ratio
Contamination
Salts
Sensors

Cite this

Huang, X., Islam, S. M. R., Liao, M., & Li, S. (2013). Higher quality of infrared images for future network security systems. In 2013 16th International Symposium on Wireless Personal Multimedia Communications (WPMC 2013) (pp. 1-6). (Wireless Personal Multimedia Communications Conference, WPMC 2013; Vol. 1). USA: IEEE, Institute of Electrical and Electronics Engineers.
Huang, Xu ; Islam, Sheikh Md. Rabiul ; Liao, Mingyu ; Li, Shutao. / Higher quality of infrared images for future network security systems. 2013 16th International Symposium on Wireless Personal Multimedia Communications (WPMC 2013). USA : IEEE, Institute of Electrical and Electronics Engineers, 2013. pp. 1-6 (Wireless Personal Multimedia Communications Conference, WPMC 2013).
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abstract = "It is well known that infrared (IR) imaging has been used extensively for various applications, in particularly in those dark conditions. Therefore, it has been widely employed in various tracking systems, in particularly, with the Internet of Things (IoT), sensors integrated with cloud computing, which makes IR even more popular for future networks. But various images, including IR images almost cannot avoid contaminations from various noises sources even when they were born. High quality images are particularly needed in those applications, especially for the security and military environments. In order to obtain a good quality of IR image for the future network security, in our current paper, it proposes a novel denoising algorithm based on Cohen-Daubechies-Feauveau wavelets followed by the low-pass filters with the length 9 and 7 (CDF 9/7) wavelet transform. In our algorithm, we first applied the lifting structure to improve the drawbacks of a traditional wavelet transform. As the normal wavelet transform appears to be restricted and limited for a class of opportunities of multi-scale representation of multi-dimensional signals to estimate the noise level and then remove them from original images, which is less efficient and effective. In contrast, our proposed algorithm in this paper is much efficient in estimating and reducing noises from the images contaminated by multi noises, such as Gaussian noise, Poisson noise, and impulse (Salt& pepper) noise. Experimental results on several tests for infrared images by using our algorithm are presented, as an example, under the noise with standard deviation σ = 0.2 and density = 20{\%} cases, for peak signal to noise ratio (PSNR) increasing 14{\%}; mean square error (MSE) our method decreasing 83{\%}; and mean of structural similarity (MSSIM) increasing 67{\%} under the same conditions. Obviously, the results strongly support the fact that our proposed algorithm is significantly superior to other related methods",
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Huang, X, Islam, SMR, Liao, M & Li, S 2013, Higher quality of infrared images for future network security systems. in 2013 16th International Symposium on Wireless Personal Multimedia Communications (WPMC 2013). Wireless Personal Multimedia Communications Conference, WPMC 2013, vol. 1, IEEE, Institute of Electrical and Electronics Engineers, USA, pp. 1-6, 16th International Symposium on Wireless Personal Multimedia Communications, 2013, Atlantic City, United States, 24/06/13.

Higher quality of infrared images for future network security systems. / Huang, Xu; Islam, Sheikh Md. Rabiul; Liao, Mingyu; Li, Shutao.

2013 16th International Symposium on Wireless Personal Multimedia Communications (WPMC 2013). USA : IEEE, Institute of Electrical and Electronics Engineers, 2013. p. 1-6 (Wireless Personal Multimedia Communications Conference, WPMC 2013; Vol. 1).

Research output: A Conference proceeding or a Chapter in BookConference contribution

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Huang X, Islam SMR, Liao M, Li S. Higher quality of infrared images for future network security systems. In 2013 16th International Symposium on Wireless Personal Multimedia Communications (WPMC 2013). USA: IEEE, Institute of Electrical and Electronics Engineers. 2013. p. 1-6. (Wireless Personal Multimedia Communications Conference, WPMC 2013).