By Piedad Brox
The ‘Fuzzy good judgment’ learn crew of the Microelectronics Institute of Seville consists of researchers who've been doing learn on fuzzy good judgment because the starting of the Nineties. frequently, this study has been all for the microelectronic layout of fuzzy logic-based structures utilizing implementation recommendations which diversity from ASICs to FPGAs and DSPs. one other lively line was once the advance of a CAD atmosphere, named Xfuzzy, to ease such layout. a number of types of Xfuzzy were and are being at present constructed by means of the gang. The addressed purposes had essentially belonged to the keep an eye on box area. during this feel, a number of difficulties and not using a linear keep an eye on answer have been studied completely. a few examples are the navigation regulate of an self reliant cellular robotic and the extent keep an eye on of a dosage system.
This booklet is equipped in 5 chapters. In bankruptcy 1, a few easy options are defined to totally comprehend the contribution of the algorithms built during this study paintings. The review of the way movement is current and the way it impacts on de-interlacing is studied in bankruptcy 2. The layout ideas of the proposed fuzzy motion-adaptive de-interlacing set of rules is studied in bankruptcy three. A spatial interpolator that adapts the interpolation to the presence of edges in a fuzzy method is constructed in bankruptcy four. A temporal interpolator that adapts the tactic of the interpolation to attainable repetition of parts of fields is gifted in bankruptcy five. utilizing either interpolators within the fuzzy motion-adaptive set of rules defined in bankruptcy three basically improves the de-interlaced results.
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Extra resources for Fuzzy logic-based algorithms for video de-interlacing
22, the motion vector is assigned to the centre of a block in the current field by searching a similar block within a search area (blue square), also centered at the same spatial coordinates but in the previous field. To find the most Search area PREVIOUS IMAGE Motion trajectory Current block N Motion vector N CURRENT IMAGE TIME Fig. 22. Estimation of the motion vector by using block-matching algorithms. 24 1 Basic Concepts suitable motion vector, a number of candidate vectors are evaluated by applying an error measure to quantify block similarity.
The ‘Robust GST’ de-interlacing method in  increases the robustness of the GST algorithm by applying the median operator. 4 Implementation of Video De-Interlacing 25 algorithm is presented in  as ‘GST-2D’. In this case, the weighted sum is obtained after interpolating pixels of the previous, current, and next fields of the sequence. Its corresponding robust version has also been developed and named ‘Robust GST-2D’ de-interlacing algorithm. 4 Implementation of Video De-Interlacing Since video material is captured until it is displayed, de-interlacing can be performed at various points.
Removal of impulse noise using a FIRE filter. In: Porc. IEEE Int. Conf. on Image Processing, Lausanne (Switzerland), September 1996, vol. 2, pp. 975–978 (1996) 93. : A fuzzy decision directed filter for impulse noise reduction. Fuzzy Sets and Systems 77, 111–116 (1996) References 47 94. : Hybrid neuro-fuzzy filter for impulse noise removal. Pattern Recognition 32, 1843–1855 (1999) 95. : Noise removal from image data using recursive neurofuzzy filters. IEEE Trans. on Instrumentation and Measurement 49(2), 307–314 (2000) 96.
Fuzzy logic-based algorithms for video de-interlacing by Piedad Brox