@article{(Open Science Index):https://publications.waset.org/pdf/4004,
	  title     = {Enhancement of Low Contrast Satellite Images using Discrete Cosine Transform and Singular Value Decomposition},
	  author    = {A. K. Bhandari and  A. Kumar and  P. K. Padhy},
	  country	= {},
	  institution	= {},
	  abstract     = {In this paper, a novel contrast enhancement technique
for contrast enhancement of a low-contrast satellite image has been
proposed based on the singular value decomposition (SVD) and
discrete cosine transform (DCT). The singular value matrix
represents the intensity information of the given image and any
change on the singular values change the intensity of the input image.
The proposed technique converts the image into the SVD-DCT
domain and after normalizing the singular value matrix; the enhanced
image is reconstructed by using inverse DCT. The visual and
quantitative results suggest that the proposed SVD-DCT method
clearly shows the increased efficiency and flexibility of the proposed
method over the exiting methods such as Linear Contrast Stretching
technique, GHE technique, DWT-SVD technique, DWT technique,
Decorrelation Stretching technique, Gamma Correction method
based techniques.},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {5},
	  number    = {7},
	  year      = {2011},
	  pages     = {707 - 713},
	  ee        = {https://publications.waset.org/pdf/4004},
	  url   	= {https://publications.waset.org/vol/55},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 55, 2011},
	}