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Statistical analysis of natural luminance and colour images have shown to display non-Gaussian distributions. We review a recent result on the non-linear sparse filter response distribution observed in, and illustrate its application to the problem of colorizing natural gray images. We further utilise elements of both image statistics and colorization for compression of the chromacity channels of...
Illumination and view dependent texture provide ample information on the appearance of real materials at the cost of enormous data storage requirements. Hence, past research focused mainly on compression and modelling of these data, however, few papers have explicitly addressed the way in which humans perceive these compressed data. We analyzed human gaze information to determine appropriate texture...
Though the variety of desktop real time stereo vision systems has grown considerably in the past several years, few make any verifiable claims about the accuracy of the algorithms used to construct 3D data or describe how the data generated by such systems, which is large in size, can be effectively distributed. In this paper, we describe a system that creates an accurate (on the order of a centimeter),...
With the development of medical treatment, various kinds of medical images become more and more important. The traditional hierarchical structural image representation methods put too much emphasis upon the symmetry of segmentation, they are not the optimal image representation methods. DNAM-based multi-valued image presentation method has not only better compression ability but also has better reconstruction...
Neighborhood coding was proposed to encode binary images. Previously, this coding scheme presented good results in the problem of handwritten character recognition. In this article, we extended this coding scheme so that it can be applied as an image shape descriptor and in a bilevel image compression method. An algorithm to reduce the number of codes needed to reconstruct the image without loss of...
Most processing tasks in three-dimensional (3D) applications share common ground in terms of algorithm design and implementation. Furthermore, time consuming tasks like 3D reconstruction of objects from generic multiview images and compression of massive amounts of 3D image data, require enormous data processing power, and in many cases computations should be performed in real-time. In this paper...
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