Nonlinear Interpolation from Video Images to High Quality Printers
(1989) In MSc ThesesDepartment of Automatic Control
- Abstract
- Recent high quality printers pose interesting questions on how to reproduce images taken by a video camera. A modern ink jet plotter has typically a resolution four times better than a good video camera. Pixel replication and bilinear interpolation give reasonable results, but have a tendency to blur the image. In contrast to these blurring phenomena, it is well known that the apparent visual quality is crucially dependent on how well the singularities, like edges, are reproduced. It is therefore intriguing to base the interpolation on a theoretical formulation that explicitly is based on image singularities. Classical potential theory fulfills these requirements, and the aim has been to start investigating the ability of this theory to... (More)
- Recent high quality printers pose interesting questions on how to reproduce images taken by a video camera. A modern ink jet plotter has typically a resolution four times better than a good video camera. Pixel replication and bilinear interpolation give reasonable results, but have a tendency to blur the image. In contrast to these blurring phenomena, it is well known that the apparent visual quality is crucially dependent on how well the singularities, like edges, are reproduced. It is therefore intriguing to base the interpolation on a theoretical formulation that explicitly is based on image singularities. Classical potential theory fulfills these requirements, and the aim has been to start investigating the ability of this theory to capture intrinsic image properties. Computational algorithms have been searched for in two ways. One direction is to use numerical methods on the full problem. Another direction is to search for formulations approximating the full theory but having less computational complexity. Algorithms of both types are developed. They are nonlinear and make use of an edge-detection technique that is implemented as a least-square-minimization. An explicit description of images by means of a small number of primitives has been obtained. The nonlinear interpolation schemes have shown to preserve edges well. (Less)
Please use this url to cite or link to this publication:
http://lup.lub.lu.se/student-papers/record/8849363
- author
- Hansson, Anders
- supervisor
- organization
- year
- 1989
- type
- H3 - Professional qualifications (4 Years - )
- subject
- keywords
- Image interpolation, Edge-detection, Potential theory, Ink jet plotter
- publication/series
- MSc Theses
- report number
- TFRT-5397
- ISSN
- 0280-5316
- language
- English
- id
- 8849363
- date added to LUP
- 2016-03-26 11:46:39
- date last changed
- 2016-03-26 11:46:39
@misc{8849363, abstract = {{Recent high quality printers pose interesting questions on how to reproduce images taken by a video camera. A modern ink jet plotter has typically a resolution four times better than a good video camera. Pixel replication and bilinear interpolation give reasonable results, but have a tendency to blur the image. In contrast to these blurring phenomena, it is well known that the apparent visual quality is crucially dependent on how well the singularities, like edges, are reproduced. It is therefore intriguing to base the interpolation on a theoretical formulation that explicitly is based on image singularities. Classical potential theory fulfills these requirements, and the aim has been to start investigating the ability of this theory to capture intrinsic image properties. Computational algorithms have been searched for in two ways. One direction is to use numerical methods on the full problem. Another direction is to search for formulations approximating the full theory but having less computational complexity. Algorithms of both types are developed. They are nonlinear and make use of an edge-detection technique that is implemented as a least-square-minimization. An explicit description of images by means of a small number of primitives has been obtained. The nonlinear interpolation schemes have shown to preserve edges well.}}, author = {{Hansson, Anders}}, issn = {{0280-5316}}, language = {{eng}}, note = {{Student Paper}}, series = {{MSc Theses}}, title = {{Nonlinear Interpolation from Video Images to High Quality Printers}}, year = {{1989}}, }