A New Technique for Image Zooming Based on the Moving Least Squares
نویسندگان
چکیده مقاله:
In this paper, a new method for gray-scale image and color zooming algorithm based on their local information is offered. In the proposed method, the unknown values of the new pixels on the image are computed by Moving Least Square (MLS) approximation based on both the quadratic spline and Gaussian-type weight functions. The numerical results showed that this method is more preferable to bilinear interpolation in term of quality (for the quadratic spline weight function), and is comparable to bicubic interpolation (for the Gaussian-type weight function).
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ACKNOWLEDGEMENTS I would like to thank my advisor Dr. Robert E. Bodenheimer for giving me the opportunity to work with him and also for guiding me through the course of my thesis work. I would also like to thank Dr. Benoit Dawant for helping me shape my work and giving valuable suggestions which helped complete this thesis. Last but not the least, I would like to express my thanks to my family ...
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عنوان ژورنال
دوره 25 شماره 2
صفحات 105- 110
تاریخ انتشار 2012-06-01
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