Radiometric Transfer: Example-based Radiometric Linearization of Photographs

We present an example‐based approach for radiometrically linearizing photographs that takes as input a radiometrically linear exemplar image and a target regular uncalibrated image of the same scene, possibly from a different viewpoint and/or under different lighting. The output of our method is a r...

Celý popis

Uložené v:
Podrobná bibliografia
Vydané v:Computer graphics forum Ročník 34; číslo 4; s. 109 - 118
Hlavní autori: Li, Han, Peers, Pieter
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Oxford Blackwell Publishing Ltd 01.07.2015
Predmet:
Calibration
Categories and Subject Descriptors (according to ACM CCS)
Computer graphics
Customization
I.3.8 [Computer Graphics]: Applications
I.4.1 [Image Processing and Computer Vision]: Digitization and Image Capture-Radiometry
Illumination
Lighting
Lightweight
Stacks
Studies
Weight reduction
United States > US
ISSN:0167-7055, 1467-8659
On-line prístup:Získať plný text
Tagy: Pridať tag
Žiadne tagy, Buďte prvý, kto otaguje tento záznam!
Popis
Shrnutí:We present an example‐based approach for radiometrically linearizing photographs that takes as input a radiometrically linear exemplar image and a target regular uncalibrated image of the same scene, possibly from a different viewpoint and/or under different lighting. The output of our method is a radiometrically linearized version of the target image. Modeling the change in appearance of a small image patch seen from a different viewpoint and/or under different lighting as a linear 1D subspace, allows us to recast radiometric transfer in a form similar to classic radiometric calibration from exposure stacks. The resulting radiometric transfer method is lightweight and easy to implement. We demonstrate the accuracy and validity of our method on a variety of scenes.
Bibliografia:istex:DCC861F741A7989B8A6F0802917D4891A73F4545
ark:/67375/WNG-CMT2CJ9W-8
ArticleID:CGF12683
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 14
ObjectType-Article-1
ObjectType-Feature-2
content type line 23
ISSN:0167-7055
1467-8659
DOI:10.1111/cgf.12683