An evolutionary framework for colorimetric characterization of scanners

Authors:
Simone Bianco;Francesca Gasparini;Raimondo Schettini;Leonardo Vanneschi
Affiliations:
Dipartimento di Informatica, Sistemistica e Comunicazione, University of Milano-Bicocca, Milan, Italy;Dipartimento di Informatica, Sistemistica e Comunicazione, University of Milano-Bicocca, Milan, Italy;Dipartimento di Informatica, Sistemistica e Comunicazione, University of Milano-Bicocca, Milan, Italy;Dipartimento di Informatica, Sistemistica e Comunicazione, University of Milano-Bicocca, Milan, Italy
Venue:
Evo'08 Proceedings of the 2008 conference on Applications of evolutionary computing
Year:
2008

Citing 10
Cited 2

Adaptation in natural and artificial systems

Adaptation in natural and artificial systems
Genetic programming (videotape): the movie

Genetic programming (videotape): the movie
Colorimetric calibration of color scanners by back-propagation

Pattern Recognition Letters
Genetic Algorithms in Search, Optimization and Machine Learning

Genetic Algorithms in Search, Optimization and Machine Learning
Heterogeneous cooperative coevolution: strategies of integration between GP and GA

Proceedings of the 8th annual conference on Genetic and evolutionary computation
Evolving color constancy

Pattern Recognition Letters - Special issue: Evolutionary computer vision and image understanding
Computational Color Technology (SPIE Press Monograph Vol. PM159)

Computational Color Technology (SPIE Press Monograph Vol. PM159)
Color scanner calibration via a neural network

ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 06
A study of cross-validation and bootstrap for accuracy estimation and model selection

IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
Are multiple runs of genetic algorithms better than one?

GECCO'03 Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartI

Open issues in genetic programming

Genetic Programming and Evolvable Machines
Genetic algorithms for training data and polynomial optimization in colorimetric characterization of scanners

EvoApplicatons'10 Proceedings of the 2010 international conference on Applications of Evolutionary Computation - Volume Part I

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this work we present an evolutionary framework for colorimetric characterization of scanners. The problem consists in finding a mapping from the RGB space (where points indicate how a color stimulus is produced by a given device) to their corresponding values in the CIELAB space (where points indicate how the color is perceived in standard, i.e. device independent, viewing conditions). The proposed framework is composed by two phases: in the first one we use genetic programming for assessing a characterizing polynomial; in the second one we use genetic algorithms to assess suitable coefficients of that polynomial. Experimental results are reported to confirm the effectiveness of our framework with respect to a set of methods in the state of the art.