Literature DB >> 34524880

Mobile Computational Photography: A Tour.

Mauricio Delbracio1, Damien Kelly1, Michael S Brown2, Peyman Milanfar1.   

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.

Entities:  

Keywords:  burst processing; camera pipeline; computational photography; low-light imaging; mobile camera; noise reduction; super-resolution; zoom

Mesh:

Year:  2021        PMID: 34524880     DOI: 10.1146/annurev-vision-093019-115521

Source DB:  PubMed          Journal:  Annu Rev Vis Sci        ISSN: 2374-4642            Impact factor:   6.422


  1 in total

1.  Smartphone-Based Refractive Index Optosensing Platform Using a DVD Grating.

Authors:  Carlos Angulo Barrios
Journal:  Sensors (Basel)       Date:  2022-01-25       Impact factor: 3.576

  1 in total

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