Image fusion process merges two images into a single more informative image. Objective
image fusion per-formance metrics rely primarily on measuring the amount of information …

Based on the fact that the human visual system is not only highly adapted for exacting
structural features such as lines, edges, contours from the input images, but also has …

We propose a simple yet effective structural patch decomposition approach for multi-
exposure image fusion (MEF) that is robust to ghosting effect. We decompose an image …

Video frame interpolation (VFI) is one of the fundamental research areas in video processing
and there has been extensive research on novel and enhanced interpolation algorithms …

In this paper, we present a novel objective non-reference performance assessment
algorithm for image fusion. It takes into account local measurements to estimate how well the …

Recent years have witnessed strong demands for video composition in online video
communications, enabling a series of new functionalities for video conferencing including …

A two-level graph cut algorithm is presented to deal with the coherence preservation
problem that appears when trying to perform colour harmonisation on images and videos …

In this paper, a novel image quality assessment (IQA) metric for the multi-exposure image
fusion (MEF) is proposed by using contrast information. Specifically, the proposed approach …

Image fusion is a proven value adding technique for image analysis. Automated image
fusion aims to give the fusion system the ability to select, analyze and evaluate fusion-worthy …

While slow motion has become a standard feature in mainstream cell phones, a fast
approach without relying on specific training datasets to assess slow motion video quality is …