Box Hill Syst. Corp., New York, NY.
IEEE Trans Image Process. 1995;4(3):285-95. doi: 10.1109/83.366477.
In this paper, we present a nonlinear interpolation scheme for still image resolution enhancement. The algorithm is based on a source model emphasizing the visual integrity of detected edges and incorporates a novel edge fitting operator that has been developed for this application. A small neighborhood about each pixel in the low-resolution image is first mapped to a best-fit continuous space step edge. The bilevel approximation serves as a local template on which the higher resolution sampling grid can then be superimposed (where disputed values in regions of local window overlap are averaged to smooth errors). The result is an image of increased resolution with noticeably sharper edges and, in all tried cases, lower mean-squared reconstruction error than that produced by linear techniques.
本文提出了一种用于静态图像分辨率增强的非线性插值方案。该算法基于强调检测边缘视觉完整性的源模型，并采用了专门为此应用开发的新型边缘拟合算子。首先，将低分辨率图像中每个像素的小邻域映射到最佳拟合的连续空间阶跃边缘。双级逼近作为一个局部模板，然后可以在其上叠加更高分辨率的采样网格（在局部窗口重叠的区域中存在争议的值被平均以平滑误差）。结果是具有更锐利边缘的增强分辨率图像，并且在所有尝试的情况下，均方重建误差都低于线性技术产生的误差。
