β Scribed by Piedad Brox, Iluminada Baturone Castillo, Santiago SΓ‘nchez Solano
No coin nor oath required. For personal study only.
The βFuzzy Logicβ 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.
Title Page
Preface
Contents
Basic Concepts
Television Transmission Systems
Monochrome Television Systems
Analog Color Television Broadcast Systems
Digital Color Television Broadcast Systems
Equipment for Broadcasting Television Images
Video Cameras
Movie Cameras
Film-to-Video Transference: Pull-Down Process
The Need of De-Interlacing
Review of De-Interlacing Algorithms
Implementation of Video De-Interlacing
Consumer Video Processing Chips
De-Interlacing Implementations Based on DSPs, FPGAs and IP Cores
The Role of Fuzzy Logic in Video Processing
Basic Concepts of Fuzzy Logic Theory
CAD Tools for Designing Fuzzy Systems
Conclusions
References
Fuzzy Motion-Adaptive Algorithm for Video De-Interlacing
Motion-Adaptive De-Interlacing
Van de Ville et al. Proposal
A New Fuzzy Motion-Adaptive De-Interlacing Algorithm
Simulation Results
Results on Benchmark Video Sequences
Detailed Results on Three Sequences
Conclusions
References
Design Options of the Fuzzy Motion-Adaptive Algorithm
Convolution Mask Options
Simulation Results
Rule Base Options
Tuning of Membership Function and Consequent Parameters
Simulation Results
Conclusions
Reference
Fuzzy Motion-Adaptive De-Interlacing with Edge-Adaptive Spatial Interpolation
Basic Fuzzy-ELA Algorithm
Determination of the Membership Function Parameters
Performance of the Basic Fuzzy-ELA Algorithm
Modifications of the Basic Fuzzy-ELA Algorithm
Recursive Fuzzy-ELA Algorithm
ELA 5+5 and Fuzzy-ELA 5+5 Algorithm
Improved Fuzzy-ELA 5+5 Algorithm
Comparison of the Fuzzy-ELA Algorithms
Robustness of Fuzzy Proposals against Noise
Fuzzy Motion Adaptive Algorithm with the `Improved Fuzzy-ELA 5+5' as Spatial Interpolator
Conclusions
References
Fuzzy Motion-Adaptive De-Interlacing with Smart Temporal Interpolation
A Smart Temporal Interpolator
Morphological Operations
Performance of the Proposed Algorithm
Evolution of the Fuzzy De-Interlacing Proposals
Comparison with MC De-Interlacing Methods
Conclusions
References
Glossary
Index
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