Halftoning and Image Processing Algorithms
Abstract
The focus of this study was theoretical and experimental research on topics in the fields of color half toning, image processing and compression, and image quality. Our goals in this research were to advance the understanding in image science for our new halftone algorithm and to contribute to image retrieval and noise theory for such imagery. In the field of color halftone printing, research was conducted on deriving a theoretical model of our new halftone algorithm based on a novel resampling of the output pixels, developing halftone algorithms for combining the speed advantages of halftone screening techniques with the quality advantages of error diffusion in the half toning of color maps, and on color image enhancement for halftone printing. In conjunction with this work, a software development effort was conducted both to implement efficiently the half toning algorithm itself and to ease its use through a graphical user interface. Research efforts were also conducted in the areas of remote sensing and image compression of color and monochrome images. In image compression we studied the use of controlled blurring to improve both lossless and lossy methods, like DOT based algorithms. In remote sensing we studied topics in image classification of a scene according to such categories as terrain, vegetation, and image quality.
Document Details
- Document Type
- Technical Report
- Publication Date
- Feb 01, 1999
- Accession Number
- ADA369915
Entities
People
- David M. Berfanger
- Nicholas George
Organizations
- University of Rochester