单图像虚拟失焦,增强3D感知

Heechul Han, Jingu Jeong, Emi Arai
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引用次数: 3

摘要

聚焦对象的颜色、对比度和细节被增强,而背景的颜色、对比度和细节被减弱,这是基于估计的深度图,采用人脸检测和分割方法来增强3D感知。考虑到人的感知和用大光圈镜头拍摄的真实失焦图像,我们建议对估计的深度图进行边界渐变以处理模糊误差。为了制作一个模糊的背景,我们通过放大和混合所有的图像来执行一个改进的高斯金字塔。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Virtual out of focus with single image to enhance 3D perception
The color, contrast and detail of an object in focus are accentuated, whereas those of a background are attenuated based on the estimated depth map with a face detection and segmentation method for enhancing a 3D perception. Considering the human perception and a real out of focused image taken with wide aperture lens, we suggest a boundary gradation for the estimated depth map to handle blurring errors. To make a blurred background, we perform a modified Gaussian pyramid by scaling up and blending all of images.
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