Artificial Bee Colony-based satellite image contrast and brightness enhancement technique using DWT-SVD
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 th...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis
2014
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| Subjects: | |
| Online Access: | http://eprints.um.edu.my/10611/1/00012993_103886.pdf |
| _version_ | 1796946102221537280 |
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| author | Bhandari, A.K. Soni, V. Kumar, A. Singh, G.K. |
| author_facet | Bhandari, A.K. Soni, V. Kumar, A. Singh, G.K. |
| author_sort | Bhandari, A.K. |
| collection | UM |
| description | 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. |
| first_indexed | 2024-03-06T05:26:35Z |
| format | Article |
| id | um.eprints-10611 |
| institution | Universiti Malaya |
| language | English |
| last_indexed | 2024-03-06T05:26:35Z |
| publishDate | 2014 |
| publisher | Taylor & Francis |
| record_format | dspace |
| spelling | um.eprints-106112018-10-01T03:50:02Z http://eprints.um.edu.my/10611/ Artificial Bee Colony-based satellite image contrast and brightness enhancement technique using DWT-SVD Bhandari, A.K. Soni, V. Kumar, A. Singh, G.K. TK Electrical engineering. Electronics Nuclear engineering 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. Taylor & Francis 2014 Article PeerReviewed application/pdf en http://eprints.um.edu.my/10611/1/00012993_103886.pdf 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, |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Bhandari, A.K. Soni, V. Kumar, A. Singh, G.K. Artificial Bee Colony-based satellite image contrast and brightness enhancement technique using DWT-SVD |
| title | Artificial Bee Colony-based satellite image contrast and brightness enhancement technique using DWT-SVD |
| title_full | Artificial Bee Colony-based satellite image contrast and brightness enhancement technique using DWT-SVD |
| title_fullStr | Artificial Bee Colony-based satellite image contrast and brightness enhancement technique using DWT-SVD |
| title_full_unstemmed | Artificial Bee Colony-based satellite image contrast and brightness enhancement technique using DWT-SVD |
| title_short | Artificial Bee Colony-based satellite image contrast and brightness enhancement technique using DWT-SVD |
| title_sort | artificial bee colony based satellite image contrast and brightness enhancement technique using dwt svd |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://eprints.um.edu.my/10611/1/00012993_103886.pdf |
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