Title :
Video resolution enhancement by using complex wavelet transform
Author :
Demirel, Hasan ; Anbarjafari, Gholamreza ; Ozcinar, Cagri ; Izadpanahi, Sara
Author_Institution :
Dept. of Electr. & Electron. Eng., Eastern Mediterranean Univ., Gazimagusa, Turkey
Abstract :
In this paper, we propose a multi-frame video resolution enhancement technique based on dual tree complex wavelet transform (DT-CWT). Here, before registration step, the respective frames have been passed through an illumination compensation procedure which is based on singular value decomposition (SVD) and discrete wavelet transform (DWT). The frame subject to the resolution enhancement is decomposed into its different frequency subbands by using DT-CWT. The high frequency subbands have been interpolated by using bicubic interpolation. Furthermore, the compensated frames are registered by using Vandewalle registration with structure adaptive normalized convolution reconstruction. Afterwards, the interpolated subbands and the output of the registration technique have been combined by using inverse DT-CWT (IDT-CWT) in order to reconstruct the super resolved frame. For Akiyo video sequence there is 5.04 dB, 4.86 dB, 5.22 dB, and 5.05 dB improvements in the average PSNR values compared to Vandewalle, Marcel, Lucchese, and Keren registration techniques, respectively.
Keywords :
discrete wavelet transforms; image sequences; interpolation; inverse problems; singular value decomposition; source separation; trees (mathematics); video signal processing; Akiyo video sequence; Vandewalle registration; bicubic interpolation; discrete wavelet transform; dual tree complex wavelet transform; frame decomposition; frame registration; illumination compensation; inverse DT-CWT; multiframe video resolution enhancement technique; singular value decomposition; structure adaptive normalized convolution reconstruction; subband interpolation; video registration; Discrete wavelet transforms; Interpolation; Lighting; Signal resolution; Spatial resolution; Video sequences;
Conference_Titel :
Image Processing (ICIP), 2011 18th IEEE International Conference on
Conference_Location :
Brussels
Print_ISBN :
978-1-4577-1304-0
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2011.6116020