Extensions of One-Dimensional Gray-level Nonlinear Image Processing Filters to Three-Dimensional Color Space
نویسنده
چکیده
This paper describes the development of computer simulation models to evaluate the filter algorithms in different color spaces. The objective of this project is to study the extension of filters from a one-dimensional gray-level space to a three-dimensional color space. The principal task of this project was to conduct and evaluate mathematical extensions of filters and determine which combination of filters and color spaces presents the best image quality. Results have shown that the use of the Rank Order filter with the YIQ color spaces provides the highest signal-to-noise-ratio. Therefore, the use of Rank Order filters in YIQ color spaces would be the most effective in the noise smoothing of images.
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