论文标题
更深入地了解混合图像
A Deeper Look into Hybrid Images
论文作者
论文摘要
$ HYBRID $ $ IMAGES $是Olivia等人首先引入的，该图像产生了具有两个解释的静态图像，因此图像随着观看距离的函数而变化。混合图像是通过研究人类处理多尺度图像的处理而建立的，并由视觉感知中的掩盖研究动机。混合图像的第一次引入显示，两个图像可以与高通滤波器和低通滤波器混合在一起，以使当混合图像从远处查看时，高通滤波器逐渐消失，低通滤波器变得突出。我们的主要目的是通过更改和调整某些参数来研究和审查原始论文，以了解它们如何影响产生的混合图像的质量。我们已经详尽地使用了不同的图像和过滤器来查看它们的功能以及是否可以在实时系统中使用。
$Hybrid$ $images$ was first introduced by Olivia et al., that produced static images with two interpretations such that the images changes as a function of viewing distance. Hybrid images are built by studying human processing of multiscale images and are motivated by masking studies in visual perception. The first introduction of hybrid images showed that two images can be blend together with a high pass filter and a low pass filter in such a way that when the blended image is viewed from a distance, the high pass filter fades away and the low pass filter becomes prominent. Our main aim here is to study and review the original paper by changing and tweaking certain parameters to see how they affect the quality of the blended image produced. We have used exhaustively different set of images and filters to see how they function and whether this can be used in a real time system or not.
