We present a theoretical analysis of the temporal behavior of double-diffraction setups. It applies, in particular, to Talbot and Montgomery interferometers, whose operation is based on the self-imaging effect. The use of both types of interferometer as temporal filters for optical and terahertz applications was recently suggested. We show that double-diffraction setups can be modeled as commun...

The rapid growth in the popularity of social networking and microblogging has led to a new way of finding and broadcasting information in the recent years. The real-time microblog filtering emerges as the times require. The task of real-time microblog filtering is to decide if subsequently posted tweets are relevant to a given query which represents the special information needs. One-side feedb...

In this paper, we will define generalized real and generalized root signals of two dimensional median filtering. A new edge detection method based on generalized root signals of two dimensional median filtering will be proposed. Simulation results will be given and compared with the Sobel and Laplace edge detectors.

In this paper, a class of spatio-temporal processes with first-order autoregressive temporal structure and functional spatio-temporal interaction is introduced. The spatial second-order regularity is allowed to change over time and is characterized in terms of fractional Sobolev spaces. The associated filtering problem is considered, assuming that observations are defined by spatial linear func...

The paper proposes a temporal filtering technique for the disparity measurements generated by area-based stereomatching algorithms. The technique improves temporal consistency of disparity measurements by reducing the matching errors due to the noise affecting the imaging system. Moreover, the technique is capable of increasing the number of correct matches by locating uncertain measurements wi...

In this paper we study a property of the filtering step of multi-cycle reconstruction algorithms used in the field of cardiac CT. We show that the common filtering step procedure is not optimal in the case of divergent geometry and decrease slightly the temporal resolution. We propose to use the filtering procedure related to the work of Noo at al [7] and show that this alternative allows to re...

Digital images are often corrupted by different noises. These noises can be removed by designing an efficient filter. Based upon the specified operation the pixels are classified. Absolute Difference Based Progressive Switching Median Filter (ADBPSMF) outperforms all other filter for the removal of impulse noise from corrupted images. This filter performs two basic operations for efficient nois...

This paper proposes a new feature extraction method based on temporal trajectory filtering and nonuniform spectral compression and examines its performance with two tasks in noisy environments. Temporal trajectory filtering is effective for robust speech recognition in noisy environments, due to human hearing is more sensitive to relative values rather than absolute values and the effect of add...

Median tilters operate by selecting the middle valve of an ascending-ordered scqucncc of numbers. These numbers are taken from a moving window on the data to be processed. The operation can be used in seismic data processing to reject glitches on data as well as enhance disconbnuiries in the dara. This paper reviews the definibons and some of the properties of median filters. The median filter ...

In a recent publication, it was shown that median filtering is an optimization process in which a two-term cost function is minimized. Based on this functional optimization property of the median filtering process, a new approach for designing the recursive median filter for image processing applications is introduced in this paper. We prove that the new approach is guaranteed to converge to ro...