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Santiago Sanchez-Solano | Akateeminen Kirjakauppa

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Fuzzy Logic-Based Algorithms for Video De-Interlacing
Tekijä: Piedad Brox; Iluminada Baturone Castillo; Santiago Sánchez Solano
Kustantaja: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG (2010)
Saatavuus: Noin 17-20 arkipäivää
EUR   97,90
Fuzzy Logic-Based Algorithms for Video De-Interlacing
Tekijä: Piedad Brox; Iluminada Baturone Castillo; Santiago Sánchez Solano
Kustantaja: Springer (2012)
Saatavuus: Noin 17-20 arkipäivää
EUR   97,90
Microelectronic Design of Fuzzy Logic-Based Systems
Tekijä: Iluminada Baturone; Angel Barriga; Carlos Jimenez-Fernandez; Diego R. Lopez; Santiago Sanchez-Solano
Kustantaja: Taylor & Francis Inc (2000)
Saatavuus: Ei tiedossa
EUR   104,80
    
Fuzzy Logic-Based Algorithms for Video De-Interlacing
97,90 €
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Sivumäärä: 174 sivua
Asu: Kovakantinen kirja
Painos: 2010
Julkaisuvuosi: 2010, 26.02.2010 (lisätietoa)
Kieli: Englanti
The ‘Fuzzy Logic’ research group of the Microelectronics Institute of Seville is composed of researchers who have been doing research on fuzzy logic since the beginning of the 1990s. Mainly, this research has been focused on the microel- tronic design of fuzzy logic-based systems using implementation techniques which range from ASICs to FPGAs and DSPs. Another active line was the development of a CAD environment, named Xfuzzy, to ease such design. Several versions of Xfuzzy have been and are being currently developed by the group. The addressed applications had basically belonged to the control ?eld domain. In this sense, s- eral problems without a linear control solution had been studied thoroughly. Some examples are the navigation control of an autonomous mobile robot and the level control of a dosage system. The research group tackles a new activity with the work developed in this book: the application of fuzzy logic to video and image processing. We addressed our interest to problems related to pixel interpolation, with the aim of adapting such interpolation to the local features of the images. Our hypothesis was that measures and decisions to solve image interpolation, which traditionally had been done in a crisp way, could better be done in a fuzzy way. Validation of this general hypothesis has been done speci?cally in the interpolation problem of video de-interlacing. - interlacing is one of the main tasks in video processing.

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