Texture Smoothing Based on Adaptive Total Variation
Textures are ubiquitous and usually have fine details as well as meaningful structures on the surfaces. Many algorithms have been proposed for texture smoothing and structure extraction, but none of them obtained a satisfactory effect because the optimiza
- PDF / 37,039,051 Bytes
- 1,153 Pages / 439.37 x 666.142 pts Page_size
- 9 Downloads / 180 Views
Zhenkun Wen Tianrui Li Editors
Foundations of Intelligent Systems Proceedings of the Eighth International Conference on Intelligent Systems and Knowledge Engineering, Shenzhen, China, Nov 2013 (ISKE 2013)
Advances in Intelligent Systems and Computing Volume 277
Series editor Janusz Kacprzyk, Polish Academy of Sciences, Warsaw, Poland e-mail: [email protected]
For further volumes: http://www.springer.com/series/11156
About this Series The series ‘‘Advances in Intelligent Systems and Computing’’ contains publications on theory, applications, and design methods of Intelligent Systems and Intelligent Computing. Virtually all disciplines such as engineering, natural sciences, computer and information science, ICT, economics, business, e-commerce, environment, healthcare, life science are covered. The list of topics spans all the areas of modern intelligent systems and computing. The publications within ‘‘Advances in Intelligent Systems and Computing’’ are primarily textbooks and proceedings of important conferences, symposia and congresses. They cover significant recent developments in the field, both of a foundational and applicable character. An important characteristic feature of the series is the short publication time and world-wide distribution. This permits a rapid and broad dissemination of research results. Advisory Board Chairman Nikhil R. Pal, Indian Statistical Institute, Kolkata, India e-mail: [email protected] Members Rafael Bello, Universidad Central ‘‘Marta Abreu’’ de Las Villas, Santa Clara, Cuba e-mail: [email protected] Emilio S. Corchado, University of Salamanca, Salamanca, Spain e-mail: [email protected] Hani Hagras, University of Essex, Colchester, UK e-mail: [email protected] László T. Kóczy, Széchenyi István University, Gy} or, Hungary e-mail: [email protected] Vladik Kreinovich, University of Texas at El Paso, El Paso, USA e-mail: [email protected] Chin-Teng Lin, National Chiao Tung University, Hsinchu, Taiwan e-mail: [email protected] Jie Lu, University of Technology, Sydney, Australia e-mail: [email protected] Patricia Melin, Tijuana Institute of Technology, Tijuana, Mexico e-mail: [email protected] Nadia Nedjah, State University of Rio de Janeiro, Rio de Janeiro, Brazil e-mail: [email protected] Ngoc Thanh Nguyen, Wroclaw University of Technology, Wroclaw, Poland e-mail: [email protected] Jun Wang, The Chinese University of Hong Kong, Shatin, Hong Kong e-mail: [email protected]
Zhenkun Wen Tianrui Li •
Editors
Foundations of Intelligent Systems Proceedings of the Eighth International Conference on Intelligent Systems and Knowledge Engineering, Shenzhen, China, Nov 2013 (ISKE 2013)
123
Editors Zhenkun Wen College of Computer and Software Engineering Shenzhen University Shenzhen China
Tianrui Li School of Information Science and Technology Southwest Jiaotong University Chengdu China
ISSN 2194-5357 ISSN 2194-5365 (electronic) ISBN 978-3-642-54923-6 ISBN 978-3-642-54924-3 (eBook) DOI 10.1007/978-3-642-54924-3 Springer Heidelberg New York Dordrecht London Li
