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...

This paper presents a new motion estimation algorithm to improve the performance of the existing searching algorithms at a relative low computational cost. We try to amend the incorrect and/or inaccurate estimate of motion with higher precision by using adaptive weighted median filtering and its modifications. The median filter is well-known. A more general filter, called the Adaptively Weighte...

To ameliorate the quality of filtering, we studied in this paper, the adaptive approach applied in multichannel images. So, we have proposed an Adaptive Vector Median Rational Hybrid Filter (AVMRHF). This filter is based on Adaptive Vector Median Filters (AVMF) and a Vector Rational Function (VRF). The analysis and experimental results reported in this paper indicate that the proposed filter is...

The types and characteristics of noise in chip images were analyzed in this paper. A new kind of details preserving adaptive median filtering algorithm with directional sub-window was introduced in which the shape and size of filtering window can be adjusted according to the noise level and the sensitivity can be set by parameter. The filter can effectively get rid of most of the impulse noise ...

The background estimation approach using a small window median filter is presented on the bases of analyzing IR point target, noise and clutter model. After simplifying the two-dimensional filter, a simple method of adopting one-dimensional median filter is illustrated to make estimations of background according to the characteristics of IR scanning system. The adaptive threshold is used to seg...

Further, a technique known as adaptive decision based filtering is proposed and applied.filter to the recently developed theory of optimal weighted median filtering. Weighted median filters for image and image sequence restora.Abstract A new median-based filter, progressive switching median. Index Terms Image enhancement, impulse detection, median filter, nonlinear filter.shown that relaxed med...

the error of inertial navigation systems increase versus time, therefore for achieving higher accuracy specially in long time navigations we have to use an aiding system. global positioning system is the best aiding system in this case. in this paper we first simulate a gps and ins; then simulate tightly integration and finally review adaptation method of kalman filtering a fuzzy adaptive kalma...

Adaptive median filter has been an efficient algorithm for salt and pepper noise removal. But, if the noise percentage are very high, adaptive median filter may still remain noise regions in result image. So a Particle swarm optimization based novel and modified adaptive median filter (PSOMF) is proposed. The Proposed filter works in two stages: Noise detection stage and noise filtering stage. ...

Removing salt and pepper noise is an active research area in image processing. In this paper, a two-phase method is proposed for removing salt and pepper noise while preserving edges and fine details. In the first phase, noise candidate pixels are detected which are likely to be contaminated by noise. In the second phase, only noise candidate pixels are restored using adaptive median filter. In...