Annual Review of Vision Science ( IF 6 ) Pub Date : 2021-09-15 , DOI: 10.1146/annurev-vision-093019-115521 Mauricio Delbracio 1 , Damien Kelly 1 , Michael S Brown 2 , Peyman Milanfar 1
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.
中文翻译：
移动计算摄影：参观
第一部拍照手机仅在 20 年前才发售，当时用手机拍照还很奇怪，网上分享照片更是闻所未闻。今天，智能手机更像是相机而不是手机。这怎么发生的？这种转变得益于计算摄影技术的进步——利用小型移动相机制作出色图像的科学和工程技术。现代算法和计算的进步，包括机器学习，已经改变了摄影的规则，为摄影带来了新的捕捉、后处理、存储和共享模式。在这篇评论中，我们简要介绍了移动计算摄影的历史，并描述了一些关键技术组件，包括连拍摄影、降噪和超分辨率。在每一步，我们都可以与人类视觉系统进行简单的对比。
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