Comparison of Different De-Interlacing Algorithms Using Fuzzy Logic
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2017, Vol 5, Issue 7
Abstract
Video processing is a special case of signal processing. These video processing techniques are used in television sets, DVDs, video players and other devices. Digital video is a representation of moving visual images in the form of encoded digital data. These video processing, which represents moving visual images with analog signals? This project can be implemented for the modern computer video displays and TV sets, which are mostly based on LCD technology. Video de-interlacing algorithms perform a crucial task in video processing. The algorithm for video de-interlacing uses the fuzzy logic to tackle two relevant features in video sequence such as motion, edges and picture repetition. De-interlacing algorithms are generally made up of two parts, such as the estimation of edge directions and the interpolation of missing pixels along with the estimated direction. This project implements a de-interlacing method which can detect, correct edge directions for interpolation. The Fuzzy-ELA deinterlacing method is implemented with edge-based line average (ELA) based on fuzzy logic. In this project the ELA algorithms, Fuzzy-ELA 7+7 algorithms and Fuzzy-ELA 9+9 algorithms are implemented for de-interlacing operation. The performance of these three algorithms is compared with the peak-signal to noise-ratio
Authors and Affiliations
R. Siva, Dr. G. Sudhavani
Keywords
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