摘要翻译:
我们提出并讨论了将矩形图像转换为椭圆区域的不同算法。我们主要关注使用具有显式和可逆方程的数学映射的方法。其关键思想是从正方形和圆盘之间的可逆映射开始,然后扩展到处理矩形和椭圆。这个扩展可以通过简单地移除偏心并在使用选定的正方形到圆盘映射后重新引入它来完成。
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英文标题:
《Elliptification of Rectangular Imagery》
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作者:
Chamberlain Fong
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最新提交年份:
2019
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分类信息:
一级分类:Electrical Engineering and Systems Science 电气工程与系统科学
二级分类:Image and Video Processing 图像和视频处理
分类描述:Theory, algorithms, and architectures for the formation, capture, processing, communication, analysis, and display of images, video, and multidimensional signals in a wide variety of applications. Topics of interest include: mathematical, statistical, and perceptual image and video modeling and representation; linear and nonlinear filtering, de-blurring, enhancement, restoration, and reconstruction from degraded, low-resolution or tomographic data; lossless and lossy compression and coding; segmentation, alignment, and recognition; image rendering, visualization, and printing; computational imaging, including ultrasound, tomographic and magnetic resonance imaging; and image and video analysis, synthesis, storage, search and retrieval.
用于图像、视频和多维信号的形成、捕获、处理、通信、分析和显示的理论、算法和体系结构。感兴趣的主题包括:数学,统计,和感知图像和视频建模和表示;线性和非线性滤波、去模糊、增强、恢复和重建退化、低分辨率或层析数据;无损和有损压缩编码;分割、对齐和识别;图像渲染、可视化和打印;计算成像,包括超声、断层和磁共振成像;以及图像和视频的分析、合成、存储、搜索和检索。
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一级分类:Computer Science 计算机科学
二级分类:Computer Vision and Pattern Recognition 计算机视觉与模式识别
分类描述:Covers image processing, computer vision, pattern recognition, and scene understanding. Roughly includes material in ACM Subject Classes I.2.10, I.4, and I.5.
涵盖图像处理、计算机视觉、模式识别和场景理解。大致包括ACM课程I.2.10、I.4和I.5中的材料。
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英文摘要:
We present and discuss different algorithms for converting rectangular imagery into elliptical regions. We mainly focus on methods that use mathematical mappings with explicit and invertible equations. The key idea is to start with invertible mappings between the square and the circular disc then extend it to handle rectangles and ellipses. This extension can be done by simply removing the eccentricity and reintroducing it back after using a chosen square-to-disc mapping.
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PDF链接:
https://arxiv.org/pdf/1709.07875