Constraint-Based Interpolation Constraint-Based Interpolation
To accomplish this, Constraint-Based Interpolation uses a sensor model that pushes the pixels in an interpolation to more closely match the data in the sampled image. Real-world image properties are ensured with a level-set smoothing model that smooths "jaggies" and a sharpening model that alleviates blurring.
This thesis describes the three models, their methods and constraints. The effects of the various models and constraints are also shown, as well as a human observer test. A variation of a previous interpolation technique, Quad-based Interpolation, and a new metric, gradient weighted contour curvature, is presented and analyzed.
School:Brigham Young University
School Location:USA - Utah
Source Type:Master's Thesis
Keywords:computer vision image processing magnification graphics understanding
Date of Publication:04/18/2005