Context-Oriented Image Processing
From LRDE
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- Authors
- Didier Verna, François Ripault
- Where
- Context-Oriented Programming Workshop
- Type
- inproceedings
- Projects
- Climb
- Date
- 2015-01-01
Abstract
Genericity aims at providing a very high level of abstraction in order, for instance, to separate the general shape of an algorithm from specific implementation details. Reaching a high level of genericity through regular object-oriented techniques has two major drawbackshowever: code cluttering (e.g. class / method proliferation) and performance degradation (e.g. dynamic dispatch). In this paper, we explore a potential use for the Context-Oriented programming paradigm in order to maintain a high level of genericity in an experimental image processing library, without sacrificing either the performance or the original object-oriented design of the application.
Documents
Bibtex (lrde.bib)
@InProceedings{ verna.15.cop,
author = {Didier Verna and Fran{\c{c}}ois Ripault},
title = {Context-Oriented Image Processing},
booktitle = {Context-Oriented Programming Workshop},
year = 2015,
month = jan,
isbn = 9781450336543,
doi = {10.1145/2786545.2786547},
abstract = {Genericity aims at providing a very high level of
abstraction in order, for instance, to separate the general
shape of an algorithm from specific implementation details.
Reaching a high level of genericity through regular
object-oriented techniques has two major drawbacks,
however: code cluttering (e.g. class / method
proliferation) and performance degradation (e.g. dynamic
dispatch). In this paper, we explore a potential use for
the Context-Oriented programming paradigm in order to
maintain a high level of genericity in an experimental
image processing library, without sacrificing either the
performance or the original object-oriented design of the
application. }
}