—This paper studies the problem of understanding noisy and structurally deformed two-dimensional images by means of abstractly defined neural works. First, in the framework of sy...
Given a collection of images of offices, what would we say we see in the images? The objects of interest are likely to be monitors, keyboards, phones, etc. Such identification of t...
We investigate the implications of a unified spatiochromatic basis for image compression and reconstruction. Different adaptive and general methods (PCA, ICA, and DCT) are applied...
Color histogram is an important part of content-based image retrieval systems. It is a common understanding that histograms that adapt to images can represent their color distribu...
We formulate and interpret several registration methods in the context of a unified statistical and information theoretic framework. A unified interpretation clarifies the implici...