The objective of this paper is to study the existing methods for unsupervised object recognition and image categorization and propose a model that can learn directly from the outp...
Minimum spanning tree algorithms have been proposed for the lossy compression of image sets. In these algorithms, a complete graph is constructed from the entire image set and an ...
Anthony Schmieder, Howard Cheng, Barry Gergel, Xia...
In imaging applications, computation is often carried out in a derivative (gradient) domain. For example, we can attenuate small image differences by thresholding the gradient and...
Super-resolution aims to produce a high-resolution image from a set of one or more low-resolution images by recovering or inventing plausible high-frequency image content. Typical...
Lyndsey C. Pickup, Stephen J. Roberts, Andrew Ziss...
In this study, we evaluated the effect that pixel size has upon people's preferences for images. We used multispectral images of faces as the scene data and simulated the res...
Jiajing Xu, Reno Bowen, Jing Wang, Joyce E. Farrel...