MMW Image Enhancement Based on Gray Stretch Technique and SSR Theory
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.
Keywordsgray stretch technique MMW image Retinex theory illumination image reflectance image image enhancement
Unable to display preview. Download preview PDF.
- 1.Roger, A.D., Gleed, G., Anderton, R.N.: Advances in Passive Millimetre Wave Imaging. In: Proceedings of SPIE, vol. 2211, pp. 312–317 (1994)Google Scholar
- 3.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)Google Scholar
- 4.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)Google Scholar
- 10.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)Google Scholar
- 12.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)Google Scholar