Study on Dynamical Super-resolution Algorithm in Uniform/Log-polar Coordinate System

均匀/对数极坐标系动态超分辨率算法研究

基本信息

批准号：
15500103
负责人：
NISHI Kazuki
金额：
$ 1.47万
依托单位：
The University of Electro-Communications
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (C)
财政年份：
2003
资助国家：
日本
起止时间：
2003 至 2005
项目状态：
已结题

项目摘要

Various technologies for compensating the image blur caused by a camera shake or a subject motion have been developed. These conventional methods, however, do not work well when the blur width is long or the brightness is dark. In this study, we have proposed a new method that enables us to compensate clearly even the large blur. It is based on the idea that the captured image is able to have wideband components by exposing multiply to the moving subject with the brightness modulated light. To evaluate the effectiveness of our proposed method, we have carried out some experiments with LED lights for the brightness modulation and have showed the proposed method provides better performance in SNR than the conventional one with a constant brightness when the captured image involves a large blur.Additionally, we have investigated what pixel array works advantageously to various motions of the subject. It is expected that a uniform structure is dominant near the center of the viewing field, but a log-polar structure is dominant in the peripheral, so they have same structure with the receptive field of the retina. During this discussion, we discovered a functions that has unchangeability to the Fourier transform and that is called "self-Fourier function (SFF)." As one of SFF's, we have proposed "generalized comb function (GCF)" that consists of equally spaced but proportionally expanded pulses along the transversal axis. In this study, we have presented a novel self-Fourier image (SFI) made by expanding the GCF to a two-dimensional form. Some numerical examples show that the SFI with an arbitrary kernel function can be constructed and satisfies unchangeability to the Fourier transform.

已经开发了各种用于补偿由摄像机震动或受试者运动引起的图像模糊的技术。但是，当模糊宽度长或亮度黑暗时，这些常规的方法不能很好地工作。在这项研究中，我们提出了一种新方法，使我们能够明确补偿大型模糊。它基于这样的想法，即捕获的图像能够通过以亮度调制的光线暴露于移动主题来具有宽带组件。为了评估我们提出的方法的有效性，我们已经对亮度调节进行了一些LED灯进行了一些实验，并显示该方法在SNR中的性能比传统的方法具有更好的性能，而当捕获的图像涉及较大的模糊时，我们的亮度涉及较大的模糊性。可以预期，统一的结构在观看场的中心附近是主导的，但是对数极层的结构在外围占主导地位，因此它们与视网膜的接受场具有相同的结构。在讨论中，我们发现了一种对傅立叶变换具有不变性的功能，这称为“自我函数（SFF）”。作为SFF的其中之一，我们提出了“广义梳子功能（GCF）”，该函数由沿横轴的间距相同但比例扩展的脉冲组成。在这项研究中，我们通过将GCF扩展到二维形式而提出了一种新颖的自我自我图像（SFI）。一些数值示例表明，具有任意内核函数的SFI可以构建并满足傅立叶变换的不变性。