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