NDLI: Video resolution enhancement by using discrete and stationary wavelet transforms with illumination compensation

Content Provider	Springer Nature Link
Author	Anbarjafari, Gholamreza Izadpanahi, Sara Demirel, Hasan
Copyright Year	2012
Abstract	This paper proposes a new video resolution enhancement technique, in which a state-of-the-art illumination compensation procedure is applied to the respective frames before the registration process. After illumination compensation process, the respective frames are registered by using Vandewalle technique. In parallel, the corresponding frame is decomposed into its frequency subbands by using discrete wavelet transform (DWT) and stationary wavelet transform (SWT). Furthermore, the high-frequency subbands (LH, HL, and HH) have been super resolved by using Vandewalle super resolution technique. Afterward, the super resolved high-frequency subbands are being enhanced by the ones obtained through SWT as the latter ones contain more information. The enhanced high-frequency subbands and the output of the registration technique, which is regarded as the low-frequency subband, have been combined by using inverse DWT (IDWT) in order to construct the high-resolution frame. The quantitative (PSNR) results show the superiority of the proposed technique over the conventional and state-of-the-art video resolution enhancement techniques, in which for Akiyo video sequence there are 5.45 dB improvements over the average PSNR compared to Vandewalle registration technique with structure adaptive normalized convolution.
Starting Page	87
Ending Page	92
Page Count	6
File Format	PDF
ISSN	18631703
Journal	Signal, Image and Video Processing
Volume Number	9
Issue Number	1
e-ISSN	18631711
Language	English
Publisher	Springer London
Publisher Date	2012-12-30
Publisher Place	London
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Video resolution enhancement Image processing Discrete wavelet transform Stationary wavelet transform Illumination compensation Signal, Image and Speech Processing Image Processing and Computer Vision Computer Imaging, Vision, Pattern Recognition and Graphics Multimedia Information Systems
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering

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