Recent advancements in Single-Image Super-Resolution (SISR) have explored the network architecture of deep-learning models to achieve a better perceptual quality super-resolved images. However, effect objective function, which contributes improving performance and images, has not gained much attention. This paper proposes novel super-resolution called Progressive Multi-Residual Fusion Network (...

Full waveform inversion is a high-resolution subsurface imaging technique, in which full seismic waveforms are used to infer physical properties. We present novel, target-enclosing, full-waveform framework based on an interferometric objective function. This function exploits the equivalence between convolution and correlation representation formulas, using data from closed boundary around targ...