A Comparative Study of Digital Interpolation Techniques.
MARYLAND UNIV COLLEGE PARK COMPUTER SCIENCE CENTER
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Interpolation has come into use in digital picture processing for many reasons. This paper is a report on the implementation and evaluation of four methods - replication, linear, cubic spline and sinc function. The evaluation is based on mean square error calculations, visual rating and computer usage costs. The results are limited but show that the best method depends upon the application for which it is used. Two side investigations were also conducted. The mean square error of an interpolated picture can be reduced if the picture is optimally sampled before interpolation. The results of an experiment bear this out. An interpolation method was extended to color pictures. The method proved feasible. Author
- Human Factors Engineering and Man Machine Systems