Thanks to the increasing number of images stored in the cloud, external image similarities
can be leveraged to efficiently compress images by exploiting inter-images correlations. In …

摘要针对不同焦距下拍摄的多分辨率尺度的图像序列, 本文提出了一种基于尺度不变特征转换(
Scale invariant feature transform, SIFT) 和图像配准的超分辨率(Super resolution, SR) …

An accurate image registration is a fundamental stage in many image processing problems.
In this paper, a new and fast registration approach based on scale invariant feature …

Precise image registration is a fundamental task in many computer vision algorithms
including superresolution methods. The well known Lucas-Kanade (LK) algorithm is a very …

We present a new, high‐quality compositing pipeline and navigation approach for variable
resolution imagery. The motivation of this work is to explore the use of variable resolution …

Due to the large availability of video cameras and new social media practices, as well as the
emergence of cloud services, images and videos constitute today a significant amount of the …

A novel super-resolution reconstruction algorithm of multi-resolution image sequence
integrating the improved super-resolution reconstruction based on neighbor embedding with …

As tecnologias de captura e visualização de imagens digitais têm avançado bastante nas
duas últimas décadas. Temos notado o aumento na riqueza de detalhes em imagens tanto …

Moving objects is one of the main bottlenecks in many computer vision problems including
video super resolution. Video Super-resolution algorithms reconstruct a high resolution …

There is a high demand for high-resolution satellite sensing in modern application. Super
Resolution (SR) offers an affordable solution for this high demand. The accuracy of super …