Abstract: In this paper we describe a new method for image size reduction and magnification. The method is based on a concept of circular apertures. In image reduction, a circular region in the original image is mapped to a single pixel in the reduced image. The average intensity of the pixels in the circle is assigned to be the intensity of the resulting pixel. In image magnification, a single pixel in the original image is projected to a circular region in the enlarged image. Weighted averaging is used to determine the intensity values for pixels in the resulting image at places where circles overlap. We have addressed 4 basic reduction/magnification scales in the paper. For each scale we have studied two aperture sizes. Higher scales can be obtained by repeatedly applying the basic ones. We have compared the results produced by the proposed method with the results produced by the commonly used resampling/zero-order hold method and found the proposed method gives results that are superior in both visual comparison and quantitative analysis.!4
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