This paper presents a generative model based approach to man-made structure detection in
2D (two-dimensional) natural images. The proposed approach uses a causal multiscale …

People can recognize the meaning or gist of a scene from a single glance, and a few recent
studies have begun to examine the sorts of information that contribute to scene gist …

Ecological approaches to perception have demonstrated that information encoding by the
visual system is informed by the natural environment, both in terms of simple image …

The class of all natural images is an extremely small fraction of all possible images. Some of
the structure of natural images can be modeled statistically, revealing striking regularities …

A number of studies have investigated whether human visual performance can be related to
the general form of the amplitude spectra (ie, 1/f α) of natural scenes. Here, it is argued that …

The Encyclopedia of Image Processing presents a vast collection of well-written articles
covering image processing fundamentals (eg color theory, fuzzy sets, cryptography) and …

Classification of various image components (pixels, regions and objects) in meaningful
categories is a challenging task due to ambiguities inherent to visual data. Natural images …

As computer graphics (CG) is getting more photorealistic, for the purpose of image
authentication, it becomes increasingly important to construct a detector for classifying …

We propose a new method for statistical analysis of functional magnetic resonance imaging
(fMRI) data. The discrete wavelet transformation is employed as a tool for efficient and robust …

A number of empirical and analytical studies demonstrated that the ultrasound RF echo
reflected from tissue exhibits 1/f characteristics. In this paper, we propose to model 1/f …