A novel super-resolution image and video reconstruction approach based on Newton-Thiele's rational kernel in sparse principal component analysis.
Lei HeJieqing TanXing HuoChengjun XiePublished in: Multim. Tools Appl. (2017)
Keyphrases
- super resolution
- high resolution
- higher resolution
- video super resolution
- low resolution images
- super resolution reconstruction
- low resolution
- high resolution images
- image reconstruction
- super resolved
- single frame
- super resolution algorithm
- image super resolution
- multi frame
- back projection
- image resolution
- single image super resolution
- high resolution video
- resolution enhancement
- motion compensation
- degraded images
- highest resolution
- reconstruction method
- multiresolution
- image restoration
- space time
- motion estimation
- spatial resolution
- iterative reconstruction algorithm
- reconstructed image
- light field
- input image
- motion blur
- image representation
- image sequences
- video sequences
- image frames
- sparse principal component analysis
- combining information from multiple
- feature space
- image synthesis
- image features
- least squares
- high quality
- low spatial resolution
- signal processing
- image processing
- image classification
- depth map
- computer vision