Performance of Deep Learning and Traditional Techniques in Single Image Super-Resolution of Noisy Images.
Karl Thurnhofer-HemsiGuillermo Ruiz-ÁlvarezRafael Marcos Luque BaenaMiguel A. Molina-CabelloEzequiel López-RubioPublished in: ICPR Workshops (6) (2020)
Keyphrases
- noisy images
- deep learning
- single image super resolution
- image patches
- sparse coding
- unsupervised learning
- natural images
- image denoising
- super resolution
- noise level
- denoising
- low resolution
- machine learning
- image prior
- sparse representation
- edge detection
- superpixels
- high resolution
- test images
- feature vectors
- linear combination
- object recognition
- video sequences