A performance comparison among different super-resolution techniques ?
Comprehensive survey of super-resolution algorithms. Performance comparison among different super-resolution algorithms. Super-resolution techniques applied to natural images.
lr low resolution hr high resolution snr signal-to-noise ratio sr super-resolution psnr peak-signal-to-noise ratio ssim structural similarity mse mean square error egi edge-guided interpolation nedi new edge-directed interpolation gba gradient-based adaptive asds adaptive sparse domain selection dft discrete fourier transform dct discrete cosine transform dwt discrete wavelet transform ibp iterative back projection pocs projection onto convex set map maximum a-posteriori mrf markov random field pdf probability density function sar simultaneous autoregressive crf conditional random field mle maximum likelihood estimation pca principle component analysis csr centralized sparse representation