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Fuzzy Logic-Based Algorithms for Video De-Interlacing

  • Book
  • © 2010

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Authors:
  1. Piedad Brox

    1. Instituto de Microelectrónica de, Sevilla (CNM-CSIC)., Universidad de Sevilla, Seville, Spain

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  2. Iluminada Baturone

    1. Instituto de Microelectrónica de, Sevilla (CNM-CSIC)., Universidad de Sevilla, Seville, Spain

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  3. Santiago Sánchez-Solano

    1. Instituto de Microelectrónica de, Sevilla (CNM-CSIC), Universidad de Sevilla, Seville, Spain

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  • State of the art of fuzzy logic-based algorithms for video de-interlacing

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

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Table of contents (5 chapters)

  1. Front Matter

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  2. Basic Concepts

    • Piedad Brox, Iluminada Baturone, Santiago Sánchez-Solano
    Pages 1-48

  3. Fuzzy Motion-Adaptive Algorithm for Video De-Interlacing

    • Piedad Brox, Iluminada Baturone, Santiago Sánchez-Solano
    Pages 49-84

  4. Design Options of the Fuzzy Motion-Adaptive Algorithm

    • Piedad Brox, Iluminada Baturone, Santiago Sánchez-Solano
    Pages 85-103

  5. Fuzzy Motion-Adaptive De-Interlacing with Edge-Adaptive Spatial Interpolation

    • Piedad Brox, Iluminada Baturone, Santiago Sánchez-Solano
    Pages 105-142

  6. Fuzzy Motion-Adaptive De-Interlacing with Smart Temporal Interpolation

    • Piedad Brox, Iluminada Baturone, Santiago Sánchez-Solano
    Pages 143-168

  7. Back Matter

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Keywords

About this book

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.

Authors and Affiliations

  • Instituto de Microelectrónica de, Sevilla (CNM-CSIC)., Universidad de Sevilla, Seville, Spain

    Piedad Brox, Iluminada Baturone

  • Instituto de Microelectrónica de, Sevilla (CNM-CSIC), Universidad de Sevilla, Seville, Spain

    Santiago Sánchez-Solano

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