This paper offers a novel detection method, which works well even in the case of a complicated image collection – for instance, a frontal face under a large class of linear tran...
Building on recent progress in modeling filter response statistics of natural images we integrate a statistical model into a variational framework for image segmentation. Incorpo...
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 reg...
Erik Reinhard, Peter Shirley, Michael Ashikhmin, T...
Contemporary steganographic systems encode hidden messages inside the least significant bit layers of colour natural images. The presence of these messages is difficult to detect ...
Paul Andrew Watters, Frances Martin, H. Steffen St...
In this paper we address the problem of visual surveillance, which we define as the problem of optimally extracting information from the visual scene with a fixating, foveated ima...
Raghu G. Raj, Wilson S. Geisler, Robert A. Frazor,...
Abstract— Separate processing of local luminance and contrast in biological visual systems has been argued to be due to the independence of these two properties in natural image ...
We present a novel technique for image inpainting, the problem of filling-in missing image parts. Image inpainting is ill-posed and we adopt a probabilistic model-based approach ...
Working with contrast instead of luminance can facilitate numerous image processing and analysis tasks. Unfortunately, a common definition of contrast suitable for all situations ...
Compound images contain a mixture of natural images, text, and graphics. They need special care in the use of compression because text and graphics cannot withstand the significan...
In this paper we discuss object detection when only a small number of training examples are given. Specifically, we show how to incorporate a simple prior on the distribution of n...