Image Enhancement Pada Screen Capture CCTV Dengan Menggunakan Metode Histogram Ekualisasi
Corresponding Author(s) : Hendro Nugroho
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control,
Vol 2, No 2, May-2017
Abstract
Penggunaan kamera Closed Circuit Television (CCTV) banyak digunakan saat ini terutama perusahaan atau industry, pertokoan dan tempat-tempat strategis lainnya. Dengan menggunakan kamera CCTV keamanan tempat tersebut akan terjamin. Akan tetapi kekurangan dari kamera CCTV adalah apabila ruangan tidak memiliki cahaya kurang (gelap) maka hasil objek yang terekam tidak maksimal. Untuk mengatasi permasalahan diatas maka perlu adanya Histogram Ekualisasi yang dapat memberikan perbaikan kualitas citra (Image Enhancement). Untuk citra yang diambil sebagai Image Enhancement sebagai contoh uji coba penelitian adalah citra Screen Capture CCTV. Dari citra Screen Capture CCTV tersebut dilakukan tahap-tahap pemrosesan citra untuk menghasilkan perbaikan kualitas citra yang baik. Rencana pengambilan data citra screen Capture CCTV sejumlah 5 citra. Cara kerja sistem informasi Image Enhancement adalah citra screen Capture CCTV di praproses dengan ukuran 200x260 piksel BMP, kemudian citra di GarayScale untuk dijadikan nilai piksel yang seragam, selanjutnya citra di histogram ekualisasi untuk intensitas menjadi seragam. Untuk menguji tingkat kualitas citra menggunakan metode ekstraksi tekstur histogram berbasis rata-rata intensitas dan deviasi standar.
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- C. Wong, G. Jiang, M. Rahman, S. Liu, And S. Lin, “Histogram Equalization And Optimal Profile Compression Based Approach For Colour Image Enhancement,” Journal of Visual Communication and Image Representation., Vol. 38, Pp. 802–813, 2016.
- K. Singh And R. Kapoor, “Image Enhancement Using Exposure Based Sub Image Histogram Equalization,” Pattern Recognition Letters, Vol. 36, Pp. 10–14, 2014.
- M. Khan, E. Khan, And Z. Abbasi, “Image Contrast Enhancement Using Normalized Histogram Equalization,” In OPTIK-International Journal For Light And Electron Optics, 2015, Vol. 126, No. 24, Pp. 4868–4875.
- Z. Ling, Y. Liang, Y. Wang, H. Shen, And X. Lu, “Adaptive Extended Piecewise Histogram Equalisation For Dark Image Enhancement,” In IET Image Processing, 2015, Vol. 22, No. 2, Pp. 246–255.
- S. Lim, N. Isa, C. Ooi, And K. Toh, “A New Histogram Equalization Method For Digital Image Enhancement And Brightness Preservation,” Signal, Image Video Process., Vol. 9, No. 3, Pp. 675–689, 2015.
- H. Zhang, Y. Li, H. Chen, D. Yuan, And M. Sun, “Perceptual Contrast Enhancement With Dynamic Range Adjustment,” In OPTIK-International Journal For Light And Electron Optics, 2013, Vol. 124, No. 3, Pp. 5906–5913.
- Z. Rong, Z. Li, And L. Dong-Nan, “Study Of Color Heritage Image Enhancement Algorithms Based On Histogram Equalization,” In OPTIK-International Journal For Light And Electron Optics, 2015, Vol. 126, No. 24, Pp. 5665–5667.
- M. Qadar, Y. Zhaowen, A. Rehman, And M. Alvi, “Recursive Weighted Multi-Plateau Histogram Equalization For Image Enhancement,” In OPTIK-International Journal For Light And Electron Optics, 2015, Vol. 126, Pp. 5890–5898.
- M. Khan, E. Khan, And Z. Abbasi, “Segment Selective Dynamic Histogram Equalization For Brightness Preserving Contrast Enhancement Of Images,” In OPTIK-International Journal For Light And Electron Optics, 2014, Vol. 125, No. 3, Pp. 1385–1389.
- Balza Achmad, Pemrograman Delphi Untuk Aplikasi Mesin Visi Menggunakan Webcam. Yogyakarta: Gava Media, 2011.
- A. Kadir And A. Susanto, Pengolahan Citra Teori Dan Aplikasi. Yogyakarta: Yogyakarta: Andi Yogyakarta, 2013.
References
C. Wong, G. Jiang, M. Rahman, S. Liu, And S. Lin, “Histogram Equalization And Optimal Profile Compression Based Approach For Colour Image Enhancement,” Journal of Visual Communication and Image Representation., Vol. 38, Pp. 802–813, 2016.
K. Singh And R. Kapoor, “Image Enhancement Using Exposure Based Sub Image Histogram Equalization,” Pattern Recognition Letters, Vol. 36, Pp. 10–14, 2014.
M. Khan, E. Khan, And Z. Abbasi, “Image Contrast Enhancement Using Normalized Histogram Equalization,” In OPTIK-International Journal For Light And Electron Optics, 2015, Vol. 126, No. 24, Pp. 4868–4875.
Z. Ling, Y. Liang, Y. Wang, H. Shen, And X. Lu, “Adaptive Extended Piecewise Histogram Equalisation For Dark Image Enhancement,” In IET Image Processing, 2015, Vol. 22, No. 2, Pp. 246–255.
S. Lim, N. Isa, C. Ooi, And K. Toh, “A New Histogram Equalization Method For Digital Image Enhancement And Brightness Preservation,” Signal, Image Video Process., Vol. 9, No. 3, Pp. 675–689, 2015.
H. Zhang, Y. Li, H. Chen, D. Yuan, And M. Sun, “Perceptual Contrast Enhancement With Dynamic Range Adjustment,” In OPTIK-International Journal For Light And Electron Optics, 2013, Vol. 124, No. 3, Pp. 5906–5913.
Z. Rong, Z. Li, And L. Dong-Nan, “Study Of Color Heritage Image Enhancement Algorithms Based On Histogram Equalization,” In OPTIK-International Journal For Light And Electron Optics, 2015, Vol. 126, No. 24, Pp. 5665–5667.
M. Qadar, Y. Zhaowen, A. Rehman, And M. Alvi, “Recursive Weighted Multi-Plateau Histogram Equalization For Image Enhancement,” In OPTIK-International Journal For Light And Electron Optics, 2015, Vol. 126, Pp. 5890–5898.
M. Khan, E. Khan, And Z. Abbasi, “Segment Selective Dynamic Histogram Equalization For Brightness Preserving Contrast Enhancement Of Images,” In OPTIK-International Journal For Light And Electron Optics, 2014, Vol. 125, No. 3, Pp. 1385–1389.
Balza Achmad, Pemrograman Delphi Untuk Aplikasi Mesin Visi Menggunakan Webcam. Yogyakarta: Gava Media, 2011.
A. Kadir And A. Susanto, Pengolahan Citra Teori Dan Aplikasi. Yogyakarta: Yogyakarta: Andi Yogyakarta, 2013.