Efficient Image Super-Resolution Using Vast-Receptive-Field Attention

Efficient image warping and super-resolution

Multiframe Image Super - Resolution Using

Multiframe super-resolution algorithms can be used to reconstruct a high-quality high-resolution image from several warped, blurred, undersampled, and possibly noisy images. A widely used means of implementing such algorithms is by optimization-based model inversion. In the past, steepest-descent methods have been applied. While easy to implement, these methods are known for their poor converge...

Face image super-resolution using 2D CCA

In this paper a face super-resolution method using two-dimensional canonical correlation analysis (2D CCA) is presented. A detail compensation step is followed to add highfrequency components to the reconstructed high-resolution face. Unlike most of the previous researches on face super-resolution algorithms that first transform the images into vectors, in our approach the relationship between ...

Image Super-Resolution Reconstruction Using Map Estimation

This paper presents a promising super-resolution (SR) approach using maximum a posteriori (MAP) estimation. We consider the high resolution (HR) estimation as a Markov Random Field (MRF), using a transformed gradient field prior to repair the image fuzzy problem caused by MRF. An improved Normalized Convolution method is proposed to obtain a first good estimation. We build a reasonable energy f...

Image Super - Resolution Using Fast Deconvolution

2 Faculty of Computational Mathematics and Cybernetics, Moscow Lomonosov State University, 119991, Russia, Moscow, Leninskie gory, (495) 939-11-29, [email protected] 3 Faculty of Computational Mathematics and Cybernetics, Moscow Lomonosov State University, 119991, Russia, Moscow, Leninskie gory, (495) 939-11-29, [email protected] 4 The institute of Informatics problems of the Russian Academy of sc...