Fuzzy Logic-Based Algorithms for Video De-Interlacing

  • Piedad Brox
  • Iluminada Baturone
  • Santiago Sánchez-Solano

Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 246)

Table of contents

  1. Front Matter
  2. Piedad Brox, Iluminada Baturone, Santiago Sánchez-Solano
    Pages 1-48
  3. Piedad Brox, Iluminada Baturone, Santiago Sánchez-Solano
    Pages 49-84
  4. Piedad Brox, Iluminada Baturone, Santiago Sánchez-Solano
    Pages 85-103
  5. Piedad Brox, Iluminada Baturone, Santiago Sánchez-Solano
    Pages 105-142
  6. Piedad Brox, Iluminada Baturone, Santiago Sánchez-Solano
    Pages 143-168
  7. Back Matter

About this book

Introduction

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 microelectronic 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 field domain. In this sense, several 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.

This book is organized in five chapters. In Chapter 1, some basic concepts are explained to completely understand the contribution of the algorithms developed in this research work. The evaluation of how motion is present and how it influences on de-interlacing is studied in Chapter 2. The design options of the proposed fuzzy motion-adaptive de-interlacing algorithm is studied in Chapter 3. A spatial interpolator that adapts the interpolation to the presence of edges in a fuzzy way is developed in Chapter 4. A temporal interpolator that adapts the strategy of the interpolation to possible repetition of areas of fields is presented in Chapter 5. Using both interpolators in the fuzzy motion-adaptive algorithm described in Chapter 3 clearly improves the de-interlaced results.

Keywords

Digital video processing Interpolation edge adaptation fuzzy inference systems fuzzy logic motion adaptation picture-repetition adaptation video de-interlacing

Authors and affiliations

  • Piedad Brox
    • 1
  • Iluminada Baturone
    • 1
  • Santiago Sánchez-Solano
    • 2
  1. 1.Instituto de Microelectrónica de, Sevilla (CNM-CSIC).Universidad de SevillaSevilleSpain
  2. 2.Instituto de Microelectrónica de, Sevilla (CNM-CSIC)Universidad de SevillaSevilleSpain

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-10695-8
  • Copyright Information Springer-Verlag Berlin Heidelberg 2010
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-642-10694-1
  • Online ISBN 978-3-642-10695-8
  • Series Print ISSN 1434-9922
  • Series Online ISSN 1860-0808
  • About this book