Abstract
In order to improve the intensity and contrast qualities of Millimeter Wave (MMW) images and reduce the image noise for concealed weapons Detection, a method is proposed through combining the gray stretch technique and Retinex theory. Gray stretch is first used to preprocess the MMW image, and then Retinex theory based on Single-Scale Retinex (SSR) is used to suppress background clutters. As a result, both the image contrast and Peak Signal to Noise Ratio (PSNR) are improved efficiently. The simulation and experimental results have proved that the algorithm is not only effective in detecting MMW targets, but also has advantages of high speed and is easy for engineering applications.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Roger, A.D., Gleed, G., Anderton, R.N.: Advances in Passive Millimetre Wave Imaging. In: Proceedings of SPIE, vol. 2211, pp. 312–317 (1994)
Wang, N.N., Qi, J.H., Deng, W.B.: Development Status of Millimeter Wave Imaging Systems for Concealed Detection. Infrared Technology 31(3), 129–135 (2009)
Alan, L., Qi, H.H., Andrew, D.: An Overview of Recent Advances in Passive Millimetre Wave Imaging in the UK. In: Proceedings of SPIE, vol. 2744, pp. 146–153 (1996)
Wang, R.G., Zhu, J., Yang, W.T., et al.: An Improved Local Multi-scale Retinex Algorithm Based on Illuminance Image Segmentation. Tien Tzu Hsueh Pao/Acta Electronica Sinica 38(5), 1181–1186 (2010)
Bertalmio, M., Caselles, et al.: Issues about Retinex Theory And Contrast Enhancement. International Journal of Computer Vision 83(1), 101–119 (2009)
Park, Y.K., Park, S.L., Kim, J.K.: Retinex Method Based on Adaptive Smoothing for Illumination Invariant Face Recognition. Signal Processing 88(8), 1929–1945 (2008)
Edwin, H.L.: An Alternative Technique for The Computation of The Designator in The Retinex Theory of Color Vision. Proc. Natl. Acad., Sci. USA 83, 3078–3080 (1986)
Land, E.H.: The Retinex Theory of Color Vision. Scientific American 237(6), 108–128 (1977)
Kittler, J.: Minimum Error Thresholding. Pattern Recognition 19, 41–47 (1986)
Zhang, X.J., Sun, X.L.: A Research on the Piecewise Linear Transformation in Adaptive IR Image Enhancement. Electronic Science and Technology 186(3), 13–16 (2005)
Sun, P.G., Wang, Z.X., Xu, Z.Y.: Active MMW Focal Plane Imaging System. Journal of Suzhou Vocational University 19(1), 70–73 (2008)
Shang, L., Su, P.G., Zhou, C.X.: Denoising Millimeter Wave Image Using Contourlet and Sparse Coding Shrinkage. Laser & Infrared 41(9), 1049–1053 (2011)
Huynh-Thu, Q., Ghanbari, M.: Scope of Validity of PSNR in Image/Video Quality Assessment. Electronics Letters 44(13), 800–801 (2008)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Huai, WJ., Shang, L., Su, PG. (2012). MMW Image Enhancement Based on Gray Stretch Technique and SSR Theory. In: Huang, DS., Jiang, C., Bevilacqua, V., Figueroa, J.C. (eds) Intelligent Computing Technology. ICIC 2012. Lecture Notes in Computer Science, vol 7389. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31588-6_49
Download citation
DOI: https://doi.org/10.1007/978-3-642-31588-6_49
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-31587-9
Online ISBN: 978-3-642-31588-6
eBook Packages: Computer ScienceComputer Science (R0)