This paper presents a novel directional median filter based deinterlacing algorithm (DMFD). DMFD is a content adaptive spatial deinterlacing algorithm that finds the direction of the edge and applies the median filtering along the edge to interpolate the odd pixels from the 5 pixels from the upper and 5 pixels from the lower even lines of the field. The proposed algorithm gives a significance i...

Speckle appears in all conventional medical B-mode ultrasonic images and can be an undesirable property since it may mask small but diagnostically significant features. In this paper, an adaptive filtering algorithm is proposed for speckle reduction. It selects a filtering region size using an appropriately estimated homogeneity value for region growth. Homogeneous regions are processed with an...

Noise amplitude in original time domain data is usually discrete and sparse. This article presents a digital filter denoising method based on statistical frequencies of the signal values. The effective noise are identified by comparing frequency value each pixelin with preset validity discrimination threshold. Signals recognized as valid will be output directly, while signals replaced mean thei...

This paper represents a new algorithm which uses a trimmed global mean filter with ROAD to remove random impulse noise. A two step algorithm is implemented in which the first step ensure detection of corrupted pixels in the degraded image and the second step replaces the degraded image with either the median of uncorrupted pixels in the selected window and if the selected window contains noisy ...

This article presents the smoothed shock filter, which iteratively produces local segmentations in image’s inflection zones with morphological operators (dilations, erosions). Hence, it enhances contours by creating ruptures, while preserving homogeneous regions. After describing algorithm, we show that is a robust approach for denoising, compared to related works. Then, expose how exploited th...