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作 者:LI XueMei ZHANG CaiMing YUE YiZhen WANG KunPeng
机构地区:[1]School of Computer Science and Technology, Shandong University, Jinan 250101, China [2]School of Computer Science and Technology, Shandong Economics University, Jinan 250014, China
出 处:《Science China(Information Sciences)》2010年第7期1287-1295,共9页中国科学(信息科学)(英文版)
基 金:supported by the National Basic Research Program of China (Grant No. 2006CB303102);the National Natural Science Foundation of China (Grant Nos. 60673003, 60933008);Shandong Province Natural Science Foundation (Grant No. Z2006G05)
摘 要:We present a new method for constructing a fitting surface to image data. The new method is based on a supposition that the given image data are sampled from an original scene that can be represented by a surface defined by piecewise quadratic polynomials. The surface representing the original scene is known as the original surface in this paper. Unlike existing methods, which generally construct the fitting surface to the original surface using image data as interpolation data, the new method constructs the fitting surface using the image data as constraints to reverse the sampling process, which improves the approximation precision of the fitting surface. Associated with each data point and its near region, the new method constructs a quadratic polynomial patch locally using the sampling formula as constraint. The quadratic patch approximates the original surface with a quadratic polynomial precision. The fitting surface which approximates the original surface is formed by the combination of all the quadratic polynomial patches. The experiments demonstrate that compared with Bi-cubic and Separable PCC methods, the new method produced resized images with high precision and good quality.
关 键 词:surface fitting quadratic polynomial image resizing reversing
分 类 号:TP391.72[自动化与计算机技术—计算机应用技术] O174.41[自动化与计算机技术—计算机科学与技术]
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