Image/video interpolations and super-resolution are topics of great interest. Their
applications include HDTV, image coding, image resizing, image manipulation, face …

Change detection (CD) aims to identify the differences between multitemporal images
acquired over the same geographical area at different times. With the advantages of …

We introduce a class of inverse problem estimators computed by mixing adaptively a family
of linear estimators corresponding to different priors. Sparse mixing weights are calculated …

Satellite remote sensing is a power tool for the long-term monitoring of vegetation. This work,
with reference to a regional case study, investigates remote sensing potentialities for …

There has been a growing interest in develo** image super-resolution (SR) algorithms
that convert low-resolution (LR) to higher resolution images, but automatically evaluating the …

Image resampling is a basic technique that is widely employed in daily applications. Existing
deep neural networks (DNNs) have made impressive progress in resampling performance …

Image super-resolution (SR) has been an active research problem which has recently
received renewed interest due to the introduction of new technologies such as deep …

This paper proposes a two-stage framework for fast image interpolation via random forests
(FIRF). The proposed FIRF method gives high accuracy, as well as requires low …

Single image super-resolution (SISR) algorithms reconstruct high-resolution (HR) images
with their low-resolution (LR) counterparts. It is desirable to develop image quality …

Traditional methods for image downsampling commit to remove the aliasing artifacts.
However, the influences on the quality of the image interpolated from the downsampled one …