Litcius/Paper detail

Computational Imaging

Scott McCloskey

2022Advances in computer vision and pattern recognition18 citationsDOIOpen Access PDF

Abstract

Abstract Since the advent of smartphones, photography is increasingly being done with small, portable, multi-function devices. Relative to the purpose-built cameras that dominated previous eras, smartphone cameras must overcome challenges related to their small form factor. Smartphone cameras have small apertures that produce a wide depth of field, small sensors with rolling shutters that lead to motion artifacts, and small form factors which lead to more camera shake during exposure. Along with these challenges, smartphone cameras have the advantage of tight integration with additional sensors and the availability of significant computational resources. For these reasons, the field of computational imaging has advanced significantly in recent years, with academic groups and researchers from smartphone manufacturers helping these devices become more capable replacements for purpose-built cameras.

Topics & Concepts

Computational photographyComputer sciencePhotographyMobile deviceComputer visionField (mathematics)ShakeFunction (biology)Artificial intelligenceComputer graphics (images)EngineeringImage processingImage (mathematics)World Wide WebMathematicsBiologyPure mathematicsEvolutionary biologyMechanical engineeringVisual artsArtImage Processing Techniques and ApplicationsDigital Media Forensic DetectionAdvanced Image Processing Techniques