DocumentCode
1796382
Title
CNN-based image predictive coding
Author
Tang Tang ; Tetzlaff, Ronald
Author_Institution
Fac. of Electr. Eng & Inf. Technol., Tech. Univ. Dresden, Dresden, Germany
fYear
2014
fDate
29-31 July 2014
Firstpage
1
Lastpage
2
Abstract
In this work the feasibility of implementing Cellular Neural Networks (CNN) for image predictive coding is investigated. Various CNN structures as predictors are proposed. The performances are compared to the existing predictive coding methods. Thanks to their massive parallel nature, CNN have been proven well suitable for image predictive coding application.
Keywords
cellular neural nets; image coding; CNN structures; cellular neural networks; image predictive coding application; massive parallel nature; predictive coding methods; Complexity theory; Image coding; Nonhomogeneous media; Polynomials; Predictive coding; Standards; Cellular Neural Networks; predictive coding;
fLanguage
English
Publisher
ieee
Conference_Titel
Cellular Nanoscale Networks and their Applications (CNNA), 2014 14th International Workshop on
Conference_Location
Notre Dame, IN
Type
conf
DOI
10.1109/CNNA.2014.6888631
Filename
6888631
Link To Document