Image Recoloring of Art Paintings for the Color Blind Guided by Semantic Segmentation
- 28 May 2020
- book chapter
- conference paper
- Published by Springer Science and Business Media LLC in Proceedings of the International Neural Networks Society
Abstract
No abstract availableKeywords
This publication has 15 references indexed in Scilit:
- Recoloring Algorithms for Colorblind PeopleACM Computing Surveys, 2019
- Naturalness preserving image recoloring method for people with red–green deficiencySignal Processing: Image Communication, 2017
- ImageNet classification with deep convolutional neural networksCommunications of the ACM, 2017
- Faster R-CNN: Towards Real-Time Object Detection with Region Proposal NetworksIEEE Transactions on Pattern Analysis and Machine Intelligence, 2016
- Deep Residual Learning for Image RecognitionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2016
- Fast R-CNNPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2015
- Rich Feature Hierarchies for Accurate Object Detection and Semantic SegmentationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2014
- Image recolorization for the colorblindPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2009
- Information Preserving Color Transformation for Protanopia and DeuteranopiaIEEE Signal Processing Letters, 2007
- The Dilemma of Color Deficiency and ArtSurvey of Ophthalmology, 2001