A frequency domain approach to registration of aliased images with application to super-resolution
EURASIP Journal on Applied Signal Processing
Robust fusion of irregularly sampled data using adaptive normalized convolution
EURASIP Journal on Applied Signal Processing
A multi-frame image super-resolution method
Signal Processing
A super-resolution reconstruction algorithm for surveillance images
Signal Processing
Generalizing the Nonlocal-means to super-resolution reconstruction
IEEE Transactions on Image Processing
Non-local kernel regression for image and video restoration
ECCV'10 Proceedings of the 11th European conference on computer vision conference on Computer vision: Part III
A super-resolution reconstruction algorithm for hyperspectral images
Signal Processing
New edge-directed interpolation
IEEE Transactions on Image Processing
A MAP Approach for Joint Motion Estimation, Segmentation, and Super Resolution
IEEE Transactions on Image Processing
An Advanced Motion Detection Algorithm With Video Quality Analysis for Video Surveillance Systems
IEEE Transactions on Circuits and Systems for Video Technology
IMAGE Resolution Enhancement by Using Discrete and Stationary Wavelet Decomposition
IEEE Transactions on Image Processing
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This paper proposes a novel super resolution technique using dual tree complex wavelet transform (DT-CWT) and new edge directional interpolation (NEDI) based on localizing motion blocks in consecutive frames. A super resolution process is applied on the extracted motion blocks and the static region of the frame to generate the low frequency subbands of DT-CWT. DT-CWT decomposition followed by NEDI generates the high frequency subbands in order to obtain the components required for inverse DT-CWT (IDT-CWT). Finally, the super resolved output frame is generated by composing the obtained high and low frequency subbands using IDT-CWT. Experimental results based on PSNR measures illustrate the advantage of proposed technique over the state of the art video resolution enhancement methods.