Low-complexity CNN with 1D and 2D filters for super-resolution
This paper proposes a low-complexity convolutional neural network (CNN) for super-
resolution (SR). The proposed deep-learning model for SR has two layers to deal with …
resolution (SR). The proposed deep-learning model for SR has two layers to deal with …
GPU-based real-time super-resolution system for high-quality UHD video up-conversion
Super-resolution (SR) is a technique that reconstructs high-resolution images using the
information present in low-resolution images. Due to their potentials of being used in wide …
information present in low-resolution images. Due to their potentials of being used in wide …