The quality of real-world photographs can often be considerably improved by digital image processing.In this article we describe our approach, integrating imaging and vision, for content-specific image enhancement. According to our approach, the overall quality of digital photographs is improved by a modular, image enhancement procedure driven by the image content. Single processing modules can be considered as autonomous elements. The modules can be combined to improve the overall quality according to image and defect categories

Schettini, R., Gasparini, F., Cusano, C., Ciocca, G. (2007). Integrating imaging and vision for content-specific image enhancement. In VISAPP 2007: PROCEEDINGS OF THE SECOND INTERNATIONAL CONFERENCE ON COMPUTER VISION THEORY AND APPLICATIONS, VOLUME IU/MTSV (pp.192-199).

Integrating imaging and vision for content-specific image enhancement

Schettini, R;Gasparini, F;Cusano, C;Ciocca, G
2007

Abstract

The quality of real-world photographs can often be considerably improved by digital image processing.In this article we describe our approach, integrating imaging and vision, for content-specific image enhancement. According to our approach, the overall quality of digital photographs is improved by a modular, image enhancement procedure driven by the image content. Single processing modules can be considered as autonomous elements. The modules can be combined to improve the overall quality according to image and defect categories
paper
image content, image enhancement
English
International Conference on Computer Graphics Theory and Applications/2nd International Conference on Computer Vision Theory and Applications MAR 08-11
2007
VISAPP 2007: PROCEEDINGS OF THE SECOND INTERNATIONAL CONFERENCE ON COMPUTER VISION THEORY AND APPLICATIONS, VOLUME IU/MTSV
978-972-8865-74-0
2007
192
199
none
Schettini, R., Gasparini, F., Cusano, C., Ciocca, G. (2007). Integrating imaging and vision for content-specific image enhancement. In VISAPP 2007: PROCEEDINGS OF THE SECOND INTERNATIONAL CONFERENCE ON COMPUTER VISION THEORY AND APPLICATIONS, VOLUME IU/MTSV (pp.192-199).
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/14301
Citazioni
  • Scopus 1
  • ???jsp.display-item.citation.isi??? 0
Social impact