A Modified Singular Value Decomposition (MSVD) Approach for the Enhancement of CCTV Low-Quality Images
Image enhancement and reconstruction is an important field of research in digital image analysis. To increase the quality of low-contrast images, a variety of image-enhancing technologies are available. Among these image enhancement techniques, singular value decomposition and discrete wavelet trans...
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| Format: | Article |
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IEEE
2024-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/10379683/ |
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| author | Shahzada Fahad Sami Ur Rahman Fakhre Alam Muhammad Yousaf Faten S. Alamri Naveed Abbas Saeed Ali Bahaj Amjad R. Khan |
| author_facet | Shahzada Fahad Sami Ur Rahman Fakhre Alam Muhammad Yousaf Faten S. Alamri Naveed Abbas Saeed Ali Bahaj Amjad R. Khan |
| author_sort | Shahzada Fahad |
| collection | DOAJ |
| description | Image enhancement and reconstruction is an important field of research in digital image analysis. To increase the quality of low-contrast images, a variety of image-enhancing technologies are available. Among these image enhancement techniques, singular value decomposition and discrete wavelet transform are the popular approaches for enhancing low-quality images. In this study, we have developed a modified singular value decomposition approach to enhance low-contrast and low-resolution close-circuit television images. Low-quality and low-resolution images with singular values near zero are used as input in the proposed approach. On the selected data, a threshold value was determined in the singular values of the diagonal matrix. Finally, the proposed modified singular value decomposition technique was applied to enhance the value of images with low quality and resolution. The datasets include 90 facial images of different individuals with low quality and resolution from a university database. The performance of the proposed approach is assessed using image entropy, peak signal to noise ratio, mean square error, contrast measurement, time computation, structure similarity index measurement and image enhancement factor. During the experiments performed on the obtained dataset, it was found that the proposed modified singular value decomposition approach outperformed the existing singular value decomposition, discrete wavelet transform-singular value decomposition and stationary wavelet transform methods. |
| first_indexed | 2024-03-08T04:08:19Z |
| format | Article |
| id | doaj.art-2bfd3e22a0ed46caa129c1d086b3e723 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-03-08T04:08:19Z |
| publishDate | 2024-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-2bfd3e22a0ed46caa129c1d086b3e7232024-02-09T00:02:33ZengIEEEIEEE Access2169-35362024-01-0112201382015110.1109/ACCESS.2024.334947710379683A Modified Singular Value Decomposition (MSVD) Approach for the Enhancement of CCTV Low-Quality ImagesShahzada Fahad0Sami Ur Rahman1Fakhre Alam2https://orcid.org/0000-0001-8323-0351Muhammad Yousaf3Faten S. Alamri4https://orcid.org/0009-0006-5359-4051Naveed Abbas5https://orcid.org/0000-0003-1204-250XSaeed Ali Bahaj6https://orcid.org/0000-0003-3406-4320Amjad R. Khan7https://orcid.org/0000-0002-0101-0329Department of Computer Science and IT, University of Malakand, Chakdara, Dir Lower, PakistanDepartment of Computer Science and IT, University of Malakand, Chakdara, Dir Lower, PakistanDepartment of Computer Science and IT, University of Malakand, Chakdara, Dir Lower, PakistanDepartment of Computer Science and IT, University of Malakand, Chakdara, Dir Lower, PakistanDepartment of Mathematical Sciences, College of Science, Princess Nourah Bint Abdulrahman University, P.O.Box 84428, Riyadh, Saudi ArabiaDepartment of Computer Science, Islamia College University, Peshawar, PakistanMIS Department, College of Business Administration, Prince Sattam Bin Abdulaziz University, Al-Kharj, Saudi ArabiaArtificial Intelligence and Data Analytics Laboratory (AIDA), CCIS, Prince Sultan University, Riyadh, Saudi ArabiaImage enhancement and reconstruction is an important field of research in digital image analysis. To increase the quality of low-contrast images, a variety of image-enhancing technologies are available. Among these image enhancement techniques, singular value decomposition and discrete wavelet transform are the popular approaches for enhancing low-quality images. In this study, we have developed a modified singular value decomposition approach to enhance low-contrast and low-resolution close-circuit television images. Low-quality and low-resolution images with singular values near zero are used as input in the proposed approach. On the selected data, a threshold value was determined in the singular values of the diagonal matrix. Finally, the proposed modified singular value decomposition technique was applied to enhance the value of images with low quality and resolution. The datasets include 90 facial images of different individuals with low quality and resolution from a university database. The performance of the proposed approach is assessed using image entropy, peak signal to noise ratio, mean square error, contrast measurement, time computation, structure similarity index measurement and image enhancement factor. During the experiments performed on the obtained dataset, it was found that the proposed modified singular value decomposition approach outperformed the existing singular value decomposition, discrete wavelet transform-singular value decomposition and stationary wavelet transform methods.https://ieeexplore.ieee.org/document/10379683/Low quality imagesentropyhuman faceimage enhancementsecuritytechnological development |
| spellingShingle | Shahzada Fahad Sami Ur Rahman Fakhre Alam Muhammad Yousaf Faten S. Alamri Naveed Abbas Saeed Ali Bahaj Amjad R. Khan A Modified Singular Value Decomposition (MSVD) Approach for the Enhancement of CCTV Low-Quality Images IEEE Access Low quality images entropy human face image enhancement security technological development |
| title | A Modified Singular Value Decomposition (MSVD) Approach for the Enhancement of CCTV Low-Quality Images |
| title_full | A Modified Singular Value Decomposition (MSVD) Approach for the Enhancement of CCTV Low-Quality Images |
| title_fullStr | A Modified Singular Value Decomposition (MSVD) Approach for the Enhancement of CCTV Low-Quality Images |
| title_full_unstemmed | A Modified Singular Value Decomposition (MSVD) Approach for the Enhancement of CCTV Low-Quality Images |
| title_short | A Modified Singular Value Decomposition (MSVD) Approach for the Enhancement of CCTV Low-Quality Images |
| title_sort | modified singular value decomposition msvd approach for the enhancement of cctv low quality images |
| topic | Low quality images entropy human face image enhancement security technological development |
| url | https://ieeexplore.ieee.org/document/10379683/ |
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