Wavelet-based Video Enhancement Using Contrast Limited Adaptive Histogram Equalization

Document Type : Original Research Articles.

Authors

1 Computer science department Mansoura University, Egypt

2 Computer science department Zagazig University, Egypt

Abstract

 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. 

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