Interlaced-to-progressive algorithms are currently required by video format conversion systems in order to display a progressive scanning used in modern visualization equipments. Deinterlacing algorithms use interpolation techniques to calculate missing pixels in transmitted fields. A motion adaptive algorithm which employs fuzzy logic to adapt the interpolation strategy to the presence of moti...

We examine the properties of function approximation using polynomial rules in a fuzzy system. We show that this kind of fuzzy function approximation is equivalent to Lagrange polynomial interpolation between turning points when normalized fuzzy function memberships are used. The fuzzy inference procedure combines two polynomials of degree n and m in x into one single polynomial of at most degre...

Attitude sensors are used in spacecrafts for measurement and control of its attitude to meet the mission goals. Sensors using the sun for attitude determination are very effective and often applied. The calibration of the sensor gives an important impetus to improve the quality. Calibration helps to reduce systematic errors of the measurement method, of tolerances of the used components due to ...

This work deals with spatial interpolation and problems related to the imprecision and the uncertainty of the data. Previous works led us to define a semantic-based aggregation process, which allows the combination of spatial data defined by fuzzy sets and possibility degrees. This article proposes to modify this aggregation process, in order to take into account a fuzzy variogram describing th...

Functional laws may be known only at a finite number of points, and then the function is completed by interpolation techniques obeying some smoothness conditions. We rather propose here to specify constraints by means of gradual rules for delimiting areas where the function may lie between known points. The more general case where the known points of the function are imprecisely located is also...

Fuzzy systems built on sparse rule bases apply special inference techniques. A large family of them can be described by the concept of the general methodology of the fuzzy rule interpolation (GM) [1]. Accordingly to this the conclusion is produced in two steps. First a new rule is interpolated corresponding to the position of the reference point of the observation in each antecedent dimension. ...

This paper presents an algorithm for video de-interlacing. The approach uses three fuzzy logic-based systems to adapt the interpolation strategy to the presence of motion and edges. Furthermore, the algorithm is able to deal with any kind of TV material independently of the source used to acquire the scene. Extensive simulations of standard and real sequences prove the efficiency of the propose...

It has been shown recently that higher order Fuzzy Logic Controllers (FLCs) such as type2 FLCs have the potential to outperform type1 FLCs. However, the high computational cost associated with such higher order FLCs is still impeding their widespread use in real world applications where the computational and memory resources are limited. In this paper we will present a simple framework that all...

In the last thirty years fuzzy logic became very popular. One can find solutions based on it in several fields from industrial systems to house appliances. Recently a new category of fuzzy systems gained more attention, the so called fuzzy rule interpolation (FRI) based systems. Owing to the low complexity of their rule bases, i.e. they can infer as well when only the relevant rules are known, ...