Email this article 
Open Access
Subscription or Fee Access
Image Contrast Enhancement Using Singular Value Decomposition for Gray Level Images
Abstract
In this letter, analyze the satellite images by using discrete wavelet transform and singular value decomposition. The input image is decomposed into the four frequency subbands by using DWT and estimates the singular value matrix of the low–low subband image and then it reconstructs the enhanced image by applying inverse DWT. The technique is compared with conventional image equalization techniques such as standard general histogram equalization and local histogram equalization as well as state-of-theart techniques such as brightness preserving dynamic histogram equalization. The experimental results show the superiority of the proposed method over conventional methods.
Keywords
References
W. G. Shadeed, D. I. Abu-Al-Nadi, and M. J. Mismar, “Road traffic sign detection in color images,” in Proc. 10th IEEE Int. Conf. Electron., Circuits Syst., Dec. 2003, vol. 2, pp. 890–893.
R. C. Gonzalez and R. E. Woods, Digital Image Processing. Englewood Cliffs, NJ: Prentice-Hall, 2007.
T. K. Kim, J. K. Paik, and B. S. Kang, “Contrast enhancement system using spatially adaptive histogram equalization with temporal filtering,” IEEE Trans. Consum. Electron. vol. 44, no. 1, pp. 82–87, Feb. 1998.
S. Chitwong, T. Boonmee, and F. Cheevasuvit, “Enhancement of color image obtained from PCA-FCM technique using local area histogram equalization,” Proc. SPIE, vol. 4787, pp. 98–106, 2002.
H. Ibrahim and N. S. P. Kong, “Brightness preserving dynamic histogram equalization for image contrast enhancement,” IEEE Trans.Consum. Electron., vol. 53, no. 4, pp. 1752–1758, Nov. 2007.
H. Demirel, G. Anbarjafari, and M. N. S. Jahromi, “Image equalization based on singular value decomposition,” in Proc. 23rd IEEE Int. Symp. Comput. Inf. Sci., Istanbul, Turkey, Oct. 2008, pp. 1–5.
T. Kim and H. S. Yang, “A multidimensional histogram equalization by fitting an isotropic Gaussian mixture to a uniform distribution,” in Proc. IEEE Int. Conf. Image Process., Oct. 8–11, 2006, pp. 2865–2868.
A. R. Weeks, L. J. Sartor, and H. R. Myler, “Histogram specification of 24-bit color images in the color difference (C-Y) color space,” Proc.SPIE, vol. 3646, pp. 319–329, 1999.
H. Demirel and G. Anbarjafari, “Pose invariant face recognition is using probability distribution function in different color channels,” IEEE Signal Process. Lett., vol. 15, pp. 537–540, May 2008.
C. C. Sun, S. J. Ruan, M. C. Shie, and T. W. Pai, “Dynamic contrast enhancement based on histogram specification,” IEEE Trans. Consum.Electron., vol. 51, no. 4, pp. 1300–1305, Nov. 2005.
Y. Tian, T. Tan, Y. Wang, and Y. Fang, “Do singular values contain adequate information for face recognition?” Pattern Recognit., vol. 36, no. 3, pp. 649–655, Mar. 2003.
J. W. Wang and W. Y. Chen, “Eye detection based on head contour geometry and wavelet subband projection,” Opt. Eng., vol. 45, no. 5, pp.057001-1–057001-12, May 2006.
J. L. Starck, E. J. Candes, and D. L. Donoho, “The curvelet transform for image denoising,” IEEE Trans. Image Process., vol. 11, no. 6, pp.670– 684, Jun. 2002.
M. Lamard, W. Daccache, G. Cazuguel, C. Roux, and B. Cochener,“Use of a JPEG-2000 wavelet compression scheme for content-based ophthalmologic retinal images retrieval,” in Proc. 27th IEEE EMBS,2005, pp. 4010–4013.
C. C. Liu, D. Q. Dai, and H. Yan, “Local discriminant wavelet packet coordinates for face recognition,” J. Mach. Learn. Res., vol. 8, pp. 1165–1195, 2007.
H. Demirel and G. Anbarjafari, “Satellite image super resolution using complexwavelet transform,” IEEE Geosci. Remote Sens. Lett., vol. 7,no. 1, Jan. 2010, to be published. [Online]. Available:
http://ieeexplore.ieee.org/xpl/freepre_abs_all.jsp?isnumber=4357975&ar number=5235113
D. Q. Dai and H. Yan, “Wavelet and face recognition,” in Face Recognition, K. Delac and M. Grgic, Eds. Vienna, Austria: I-Tech Edu.Publ., 2007, ch. 4, pp. 59–74.
K. S. Shanmugan and A. M. Breipohl, Random Signals: Detection
Refbacks
- There are currently no refbacks.
This work is licensed under a Creative Commons Attribution 3.0 License.