Single-frame image super-resolution based on singular square matrix operator
Yuriy Rashkevych, Dmytro Peleshko, Olena А. Vynokurova, Ivan Izonin, Nataliia Lotoshynska · 2017 IEEE First Ukraine Conference on Electrical and Computer Engineering (UKRCON) · 2017
In the paper the method of single-frame image super-resolution based on the singular decomposition of matrix operator of the convergence square matrix operator is proposed. The characteristic vectors-features are obtained by using the Moore-Penrose pseudoinverse of matrix operator, which are used for enlarged image synthesis. The series of computational experiments based on images with fluctuation of intensity function are performed. The comparison results with others methods have confirmed the effectiveness of developed approach. The main advantages of proposed method for different enlargement coefficients are considered.