A neural network for grey level and color correction used in photofinishing

Author

Kocheisen, Michael ; Müller, Urs A. ; Tröster, Gerhard

Author_Institution

Electron. Lab., Swiss Federal Inst. of Technol., Zurich, Switzerland

Volume

4

fYear

1996

fDate

3-6 Jun 1996

Firstpage

2166

Abstract

The application of a multilayer perceptron for color and gray level correction in the field of photofinishing is presented. It is shown, that a neural network can improve the overall performance of a state of the art photo printer. The improved correction ability will reduce the number of unsalable pictures and thus lowers the production costs for the photo laboratory. The training experiments were carried out on a database of 30,000 photos using the MUSIC parallel supercomputer. The MUSIC system made it possible, for the first time, to process this large database in a reasonable time

Keywords

chemical technology; multilayer perceptrons; photographic process; photography; MUSIC parallel supercomputer; color correction; grey level correction; multilayer perceptron; neural network; photofinishing; photograph development; photograph finishing; Color; Costs; Databases; Laboratories; Multilayer perceptrons; Multiple signal classification; Neural networks; Printers; Production; Supercomputers;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks, 1996., IEEE International Conference on

Conference_Location

Washington, DC

Print_ISBN

0-7803-3210-5

Type

conf

DOI

10.1109/ICNN.1996.549237

Filename

549237