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Reverse Imaging Pipeline for Raw RGB Image Augmentation

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Details

Original languageEnglish
Title of host publication2019 IEEE International Conference on Image Processing (ICIP)
PublisherIEEE
Pages2896-2900
Number of pages5
ISBN (Electronic)978-1-5386-6249-6
ISBN (Print)978-1-5386-6250-2
DOIs
Publication statusPublished - Sep 2019
Publication typeA4 Article in a conference publication
EventIEEE International Conference on Image Processing -
Duration: 1 Jan 1900 → …

Publication series

NameIEEE International Conference on Image Processing
ISSN (Print)1522-4880
ISSN (Electronic)2381-8549

Conference

ConferenceIEEE International Conference on Image Processing
Period1/01/00 → …

Abstract

We propose a reverse camera imaging pipeline to convert arbitrary images to raw RGB responses of a specific camera. The pipeline requires only that the camera’s RGB responses are characterized. The reversed pipeline helps camera developers to generate camera specific raw images and use them to train learning-based imaging pipeline algorithms. In our experiments, three recent deep color constancy architectures achieve superior results in the cross-dataset setting using generated images.

Keywords

  • Image color analysis, Cameras, Pipelines, Pipeline processing, Lighting, Transforms, Data augmentation, imaging pipeline

Publication forum classification

Field of science, Statistics Finland