A simple adaptive filter is proposed for the restoration of smoothly varying signals in a nonstationary noisy background. The filter switches between the median filter and the running mean filter according to local estimates of the tail behavior (impulsivity) of the noise distribution. A theoretical threshold is derived against which the local estimate is compared. The local median is selected ...

Face recognition indeed plays a major rule in the biometrics security environment. Facial marks as for example freckles, moles, scars etc that are soft biometric traits have played a crucial role in identifying the human face. To provide secure authentication, we require robust methodology for recognizing and authentication of the human face. However, there are numbers of difficulties in recogn...

A new impulsive noise removal filter, adaptive dynamically weighted median filter (ADWMF), is proposed. A popular method for removing impulsive noise is a median filter whereas the weighted median filter and center weighted median filter were also investigated. ADWMF is based on weighted median filter. In ADWMF, instead of fixed weights, weightages of the filter are dynamically assigned with th...

The paper proposes a new adaptive weighted median filter for the restoration of impule corrupted digital images by incorporating the limitations posed by Directional Weighted Median Filter (DWMF [4] and the algorithm proposed by Justin et. al [20]-[21]. The algorithm incorporates sixteen directions to identify the presence of edges and to preserve these detected edges while restoring images. Th...

Recently, the number of different kinds events on social media platforms show a tremendous increase in each second. Hence, event detection holds very important role current scenario. However, is challenging information technology (IT). Several machine learning-based approaches are established for process, but it generates high error and makes various loss, affecting system’s performance. Thus, ...

This paper presents a robust de-noising model for image enhancement using adaptive median filtering. In this approach image noise is detected with a standard median filter using an adaptive window. Within the window, the original value of the center pixel is changed to a newer that is closer to or same as the standard median. A comparison has been arranged among the proposed method, the standar...

This work shows that the following problems are equivalent, both in theory and in practice: • median filtering : given an n-element vector, compute the sliding window median with window size k, • piecewise sorting : given an n-element vector, divide it in n/k blocks of length k and sort each block. By prior work, median filtering is known to be at least as hard as piecewise sorting: with a sing...