A high quality single-image super-resolution algorithm based on linear Bayesian MAP estimation with sparsity prior.
Dong SunQingwei GaoYixiang LuLijun ZhengHui WangPublished in: Digit. Signal Process. (2014)
Keyphrases
- single image
- super resolution
- maximum a posteriori
- map estimation
- super resolution algorithm
- image reconstruction
- high quality
- image prior
- image super resolution
- low resolution
- high resolution
- image restoration
- maximum likelihood
- super resolved
- low resolution images
- super resolution reconstruction
- markov random field
- multiple images
- image pairs
- light source
- d scene
- motion estimation
- depth map
- multi frame
- em algorithm
- blind deconvolution
- high resolution images
- energy function
- degraded images
- image quality
- graph cuts
- light field
- motion blur
- expectation maximization
- blur kernel
- multi view
- total variation
- optical flow