Bhandari, A.K. and Soni, V. and Kumar, A. and Singh, G.K. (2014) Artificial Bee Colony-based satellite image contrast and brightness enhancement technique using DWT-SVD. International Journal of Remote Sensing, 35 (5). pp. 1601-1624. ISSN 0143-1161,
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Abstract
In this article, a new contrast enhancement approach is presented for quality enhancement of low-contrast satellite images. The proposed technique is based on the Artificial Bee Colony (ABC) algorithm using Discrete Wavelet Transform and Singular Value Decomposition (DWT-SVD). The method employs the ABC technique to learn the parameters of the adaptive thresholding function required for optimum enhancement. In this approach, the input image is primarily decomposed into four sub-bands through DWT, and then each sub-band of DWT is optimized through the ABC algorithm. After that, a singular value matrix of the low–low thresholded sub-band image is estimated and, finally, the enhanced image is constructed by applying inverse DWT. The results obtained through this method reveal that the proposed methodology gives better performance in terms of peak signal-to-noise ratio (PSNR), mean square error (MSE), and mean and standard deviation as compared to General Histogram Equalization (GHE), Discrete Cosine Transform and Singular Value Decomposition (DCT-SVD), DWT-SVD, Particle Swarm Optimization (PSO), and modified versions of the PSO-based enhancement approach.
| Item Type: | Article |
|---|---|
| Funders: | UNSPECIFIED |
| Uncontrolled Keywords: | Artificial Bee Colony (ABC) algorithm; Discrete Wavelet Transform and Singular Value Decomposition (DWT-SVD) |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Divisions: | Faculty of Engineering |
| Depositing User: | Ms. Wati Yusuf |
| Date Deposited: | 16 Jun 2014 09:30 |
| Last Modified: | 01 Oct 2018 03:50 |
| URI: | http://eprints.um.edu.my/id/eprint/10611 |
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