Demonstration of rapid frequency selective reconstruction for image resolution enhancement

Nils Genser, Jürgen Seiler, Markus Jonscher, André Kaup
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引用次数: 9

Abstract

Most algorithms for processing, transmitting, or displaying images require the samples being placed on a regular grid. However, there exist imaging scenarios where the samples to be processed are located on a mesh with non-integer positions. This happens for example in image super-resolution, image warping, image registration, or image acquisition using random sampling sensors. In addition, sampling an image at non-regular sensor positions offers several advantages, as the effective spatial resolution of an imaging sensor can be increased as shown in [1].
快速频率选择性重建增强图像分辨率的演示
大多数处理、传输或显示图像的算法都要求将样本放置在规则的网格上。然而,存在待处理样本位于非整数位置网格上的成像场景。这种情况发生在图像超分辨率、图像翘曲、图像配准或使用随机采样传感器的图像采集中。此外,在非规则的传感器位置对图像进行采样也有几个优点,如[1]所示,可以提高成像传感器的有效空间分辨率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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