Selective image blur using machine learning

Embodiments described herein relate to a method, computing device, and non-transitory computer readable medium for generating an output image. In some implementations, a method includes estimating a depth of an image to obtain a depth. The method further includes generating a focus table for the ima...

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Bibliographic Details
Main Authors LIBA, OLE, YU, LUCY, KERNAN YAEL PRICE
Format Patent
LanguageChinese
English
Published 21.11.2023
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Summary:Embodiments described herein relate to a method, computing device, and non-transitory computer readable medium for generating an output image. In some implementations, a method includes estimating a depth of an image to obtain a depth. The method further includes generating a focus table for the image, the focus table including parameters indicative of a focus range and at least one of a front slope or a rear slope. The method also includes determining whether one or more faces are detected in the image. The method further includes, if one or more faces are detected in the image, identifying a respective face bounding box for each face and adjusting the focus table to include the face bounding boxes. The method further includes scaling the focus table if no face is detected in the image. The method further includes applying blur to the image using the focus table and the depth map to generate an output image. 本文描述的实施方式涉及用于生成输出图像的方法、计算设备和非暂时性计算机可读介质。在一些实施方式中,一种方法包括估计图像的深度以获得深度。方法还包括为图像生成焦点表,焦点表包括指示焦点范围、以及前斜率或后
Bibliography:Application Number: CN202280005733