G r a d u a t e   G r a p h i c s   W o r k

Master's Thesis
Expressive Painterly Rendering Through Image Processing

A new painterly rendering approach emphasizing the need for automatic photograph-to-painterly rendering techniques to include elements of human expression.

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Ray Tracing Projects

Results of course work for Advanced Computer Graphics II (Ray Tracing), CS6620, at the University of Utah.  Work displayed in chronological order; illustrates the implementation of a ray tracer from scratch.

Written for 'Advanced Computer Graphics II', University of Utah, Spring 2002.

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Implementation of:
An Algorithm for Automatic Painterly Rendering Based on Local Source Image Approximation

Original paper by Michio Shiraishi and Yasushi Yamaguchi, Univeristy of Tokyo.  Appeared in NPAR 2000.  Completed as part of course work for Advanced Computer Graphics I (OpenGL), CS6610, at the University of Utah.

Written for 'Advanced Computer Graphics I', University of Utah, Fall 2001.
 

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Computer Graphics I (OpenGL) Projects

Here you'll find images and executables from a few projects from Computer Graphics I at the University of Utah.  Projects were written in C++/OpenGL and were compiled for Windows 32-bit Operating Systems.

Written for 'Advanced Computer Graphics I', University of Utah, Fall 2001.
 

Click to see projects.
 

U n d e r g r a d u a t e   H o n o r s   T h e s i s

Blurring the Line
Algorithms and Aesthetics of Image Filtering

An honors thesis presented to the Department of Mathematics & Computer Science at Wittenberg University
 
18 April 2001

Abstract:
The computer has been used as a tool in the manipulation of digital images for almost forty years. In the past digital image processing, for the most part, has meant image restoration (or possibly image enhancement) due to the common degradation of image quality in the digital conversion. However recently the computer has been seen by some as an extension of the photographic darkroom, and in many instances, an entire art medium in itself.

This research investigates both the technical and non-technical sides of digital image filtering, illustrating a recent ‘blur’ between the once disjoint lines of computer science and art. Both general purpose and ‘artistic’ algorithms for digital image filters (some of which are unique to this research) are explained and implemented in a computer program in order to easily observe the results.

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