Region Based Non-Uniform Scheme for Effective Retargeting

E. S. Reddy, Y. Swathi, K. Chandini, S. Swetha, C. Swapna
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Abstract

With the invent of displays of varied features like bendable displays, twistable displays and slant displays the feed of these displays need to be adjusted so that useful objects of the scene are not destroyed. In general, if we want to project a particular scene of specified size after capturing on the display of other dimensions, image resizing is done. In image resizing, the whole image will be converted into dimension of the target display. In the process the whole image, including all the objects may be expanded or squeezed depending on the size of the target display. But, in image retargeting, in addition to changing the size of the image to suit the target display, some additional intelligence will be added there by preserving or retaining useful objects and removing unnecessary background information. In this paper, the global significance map will drive the retargeting which is formed by merging the local significance maps. The local significance maps are derived after forming regions by considering the average intensity levels locally. The simulation results clearly show the superiority of the scheme proposed
基于区域的非均匀重定向方法
随着可弯曲显示器、可扭曲显示器和倾斜显示器等各种功能显示器的发明,需要对这些显示器的馈送进行调整,以便不破坏场景中的有用物体。一般来说,如果我们想在其他维度的显示器上捕获特定尺寸的特定场景后进行投影,则需要进行图像大小调整。在图像大小调整中,将整个图像转换为目标显示器的尺寸。在此过程中,包括所有对象在内的整个图像可能会根据目标显示器的大小进行扩展或压缩。但是,在图像重定位中,除了改变图像的大小以适应目标显示外,还会通过保留或保留有用的对象和删除不必要的背景信息来添加一些额外的智能。在本文中,全局意义图将驱动重定向,该重定向由局部意义图合并而成。考虑局部平均强度水平,形成区域后,得到局部显著性图。仿真结果表明了该方案的优越性
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