In recent years, impressive advances have been made in single-image super-resolution. Deep learning is behind much of this success. Deep(er) architecture design and external prior modeling are the key ingredients. The internal contents low-resolution input image neglected with deep modeling, despite earlier works that show power using such priors. paper, we propose a variation residual convolut...

Second generation wavelet based super resolution algorithms developed in this research are presented in this paper. Generalization of the Second generation wavelet super resolution (SGWSR) algorithm to handle arbitrarily irregular 2-D grids as opposed to the semi-regular grids handled in the previous algorithm is introduced. A consequence is the ability to incorporate the projective camera moti...

This paper deals with the dynamics of a tritrophic food chain model composed of a prey, predator and a super predator. A discrete time delay is introduced to the functional response term involved with the growth equation of predator and super predator to allow for a reaction time. The main content of this paper is divided into two parts. In the first part we consider the model with density depe...