Contrast Enhancement for Remote Sensing Images with Discrete Wavelet Transform
G.Veena1, V.Uma2, Ch. Ganapathy Reddy3
1G.Veena, Department of E.C.E, G. Narayanamma Institute of Technology and Science, Hyderabad (Telangana), India.
2V. Uma, Assoc. Prof, Department of E.C.E, G. Narayanamma Institute of Technology and Science, Hyderabad (Telangana), India.
3Prof. Ch. Ganapathy Reddy, Department of E.C.E, G. Narayanamma Institute of Technology and Science, Hyderabad (Telangana), India.
Manuscript received on 21 July 2013 | Revised Manuscript received on 28 July 2013 | Manuscript published on 30 July 2013 | PP: 114-120 | Volume-2 Issue-3, July 2013 | Retrieval Number: C0721072313/2013©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Contrast Enhancement is very important for better visual perception and color reproduction. In this paper we explained the base enhancement techniques Histogram Equalization, Bi-histogram Equalization, Contrast Enhancement using Discrete Wavelet Transform(DWT) and Singular Value Decomposition (SVD),Discrete Cosine Transform(DCT) and Singular Value Decomposition(SVD) and the proposed technique Contrast enhancement based on Dominant Brightness and Adaptive Transformation. The performance of every method is evaluated with parameters such Mean Square Error (MSE), Measure of Enhancement (EME), Peak Signal to Noise Ratio (PSNR) and Mean Absolute Error (MAE).
Keywords: Bi Histogram Equalization (BHE), Discrete Cosine Transform (DCT),Discrete Wavelet Transform (DWT), Histogram Equalization (HE), Singular Value Decomposition (SV)D.
Scope of the Article: Discrete Optimization