Please use this identifier to cite or link to this item:
https://hdl.handle.net/10316/44981
Title: | Cross-Diffusion Systems for Image Processing: I. The Linear Case | Authors: | Araújo, Adérito Barbeiro, Sílvia Cuesta, Eduardo Durán, Angel |
Issue Date: | 2017 | Publisher: | Springer | Project: | info:eu-repo/grantAgreement/FCT/5876/147205/PT | Serial title, monograph or event: | Journal of Mathematical Imaging and Vision | Volume: | 58 | Issue: | 3 | Abstract: | The use of cross-diffusion problems as mathematical models of different image processes is investigated. Here the image is represented by two real-valued functions which evolve in a coupled way, generalizing the approaches based on real and complex diffusion. The present paper is concerned with linear filtering. First, based on principles of scale invariance, a scale-space axiomatic is built. Then, some properties of linear complex diffusion are generalized, with particular emphasis on the use of one of the components of the cross-diffusion problem for edge detection. The performance of the cross-diffusion approach is analysed by numerical means in some one- and two-dimensional examples. | URI: | https://hdl.handle.net/10316/44981 | DOI: | 10.1007/s10851-017-0720-x 10.1007/s10851-017-0720-x |
Rights: | embargoedAccess |
Appears in Collections: | I&D CMUC - Artigos em Revistas Internacionais |
Files in This Item:
File | Description | Size | Format | |
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AraujoBarbeiroCuestaDuran20171.pdf | 11.11 MB | Adobe PDF | View/Open |
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