Super-resolution (SR) technique reconstructs a higher-resolution image or sequence from
the observed LR images. As SR has been developed for more than three decades, both …

Super-resolution, the process of obtaining one or more high-resolution images from one or
more low-resolution observations, has been a very attractive research topic over the last two …

摘要由于广泛的实用价值与理论价值, 超分辨率图像重建(Super-resolution image
reconstruction, SRIR 或SR) 技术成为计算机视觉与图像处理领域的一个研究热点 …

We develop a continuous framework for the analysis of 4D light fields, and describe novel
variational methods for disparity reconstruction as well as spatial and angular super …

Humans perceive the three-dimensional structure of the world with apparent ease. However,
despite all of the recent advances in computer vision research, the dream of having a …

With the exponential increase in computing power and broad proliferation of digital cameras,
super-resolution imaging is poised to become the next" killer app." The growing interest in …

We present PiCam (Pelican Imaging Camera-Array), an ultra-thin high performance
monolithic camera array, that captures light fields and synthesizes high resolution images …

The key objective of super-resolution (SR) imaging is to reconstruct a higher-resolution
image based on a set of images, acquired from the same scene and denoted as 'low …

This chapter provides an introduction to the Super-Resolution (SR) research area, by
explaining some basic techniques of SR, an overview of the literature, and discussions …

The neighbor-embedding (NE) algorithm for single-image super-resolution (SR)
reconstruction assumes that the feature spaces of low-resolution (LR) and high-resolution …