A combination of wavelet transforms and contrast limited adaptive histogram equalization (CLAHE) techniques are used to efficiently enhance videos. The proposed technique handles the noises within video frames and enhances the resolution of the video. Lifting wavelet transform (LWT) and stationary wavelet transform (SWT) are applied to separate original frame into the low-frequency sub-bands, and the high-frequency sub-bands. Thereafter, we applied the interpolation to correct the coefficients of the high-frequency and the original frame separately. Next, Inverse Lifting wavelet transform (ILWT) is utilized for the integration of each all these enhanced sub-band. Finally, the CLAHE algorithm is applied to make the details of the frame more visible, and meaningful to generally improve the resolution of the video. The output video shows that the proposed technique enhances the quality of resolution videos under various environmental conditions, alleviates noises and avoids the over-enhancement problems.
Faek, F., Nomir, O., Essa, E., & El-henawy, E. (2018). Wavelet-based Video Enhancement Using Contrast Limited Adaptive Histogram Equalization. Mansoura Journal for Computer and Information Sciences, 14(1), 43-52. doi: 10.21608/mjcis.2018.311997
MLA
Fatma Faek; Omaima Nomir; Ehab Essa; Ebrahim El-henawy. "Wavelet-based Video Enhancement Using Contrast Limited Adaptive Histogram Equalization". Mansoura Journal for Computer and Information Sciences, 14, 1, 2018, 43-52. doi: 10.21608/mjcis.2018.311997
HARVARD
Faek, F., Nomir, O., Essa, E., El-henawy, E. (2018). 'Wavelet-based Video Enhancement Using Contrast Limited Adaptive Histogram Equalization', Mansoura Journal for Computer and Information Sciences, 14(1), pp. 43-52. doi: 10.21608/mjcis.2018.311997
VANCOUVER
Faek, F., Nomir, O., Essa, E., El-henawy, E. Wavelet-based Video Enhancement Using Contrast Limited Adaptive Histogram Equalization. Mansoura Journal for Computer and Information Sciences, 2018; 14(1): 43-52. doi: 10.21608/mjcis.2018.311997
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