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移动计算摄影:概述。

Mobile Computational Photography: A Tour.

机构信息

Google Research, Mountain View, California 94043, USA; email:

EECS Department, York University, Toronto, Ontario M6E 3N1, Canada; email:

出版信息

Annu Rev Vis Sci. 2021 Sep 15;7:571-604. doi: 10.1146/annurev-vision-093019-115521.

Abstract

The first mobile camera phone was sold only 20 years ago, when taking pictures with one's phone was an oddity, and sharing pictures online was unheard of. Today, the smartphone is more camera than phone. How did this happen? This transformation was enabled by advances in computational photography-the science and engineering of making great images from small-form-factor, mobile cameras. Modern algorithmic and computing advances, including machine learning, have changed the rules of photography, bringing to it new modes of capture, postprocessing, storage, and sharing. In this review, we give a brief history of mobile computational photography and describe some of the key technological components, including burst photography, noise reduction, and super-resolution. At each step, we can draw naive parallels to the human visual system.

摘要

20 年前,首款具备移动拍摄功能的手机问世,当时用手机拍照还很新奇,更别提在网上分享照片了。如今,智能手机的拍照功能已远超通话功能。这是如何实现的呢?这一转变得益于计算摄影技术的进步,即利用小型化、移动化的相机拍摄高质量图像的科学和工程技术。现代算法和计算技术的进步,包括机器学习,改变了摄影规则,为其带来了新的拍摄、后期处理、存储和分享模式。在这篇综述中,我们简要回顾了移动计算摄影的发展历程,并介绍了一些关键技术组件,包括连拍、降噪和超分辨率。在每一步中,我们都可以与人类视觉系统进行简单的类比。

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