A new two-step fuzzy filter that adopts a fuzzy logic approach for the enhancement of images corrupted with impulse noise is presented in this paper. The filtering method (entitled as Fuzzy Random Impulse Noise Reduction method (FRINR)) consists of a fuzzy detection mechanism and a fuzzy filtering method to remove (random-valued) impulse noise from corrupted images. Based on the criteria of pea...

Noise hides the important details of images. An efficient noise removal method is an important issue in image processing. Several filters have already been developed in fact special filter is designed to remove only one particular type of noise like Traditional median filter successfully remove the low density impulse noise but fail to remove the high density impulse noise. This paper consists ...

When the image is highly corrupted, such as images photographed by the darkness regard camera, the detection of flat patterns is easier than that of edges. In this paper, a new adoptive order statistic filter by using flat pattern detection is proposed, and an approach to optimize the parameters of the order statistic filter is introduced. The proposed system is composed of the flat pattern det...

-Investigated is the problem of points matching in stereo images (both color and monochrome). The correlation method is applied to the areas around the points being matched. The influence of noise on the matching errors and the error reduction by vector and scalar filters are analyzed. The obtained results indicate that there is only a small difference between the matching precision of color an...

This paper presents a novel peer group filtering method, called the NPGF method, for impulse noise reduction. The main contributions of the proposed method are two-fold. First, we propose that the impulse noise detection is performed in the CIELab, instead of the RGB, color space to enhance noise detectability. Secondly, the proposed method employs two different-sized windows in determining the...

This paper focuses on fuzzy image denoising techniques. In particular, we develop a new fuzzy impulse noise detection method. The main difference between the proposed method and other state-of-the-art methods is the usage of the colour components for the impulse noise detection method that are used in a more appropriate manner. The idea is to detect all noisy colour components by observing the ...

Inhibition from neighboring eccentric cells has an effect on the variability of firing of a given eccentric cell. The reduction in the average impulse rate which is caused by inhibition decreases the variance of the impulse rate. However, this reduction of the average rate increases the coefficient of variation of the impulse rate. Inhibitory synaptic noise should add to the low frequency porti...

The paper presents a new image denoising method for impulse noise in grayscale images using a context-based prediction scheme. The algorithm replaces the noisy pixel with the value occurring with the highest frequency, in the same context as the replaceable pixel. Since it is a context-based technique, it preserves the details in the filtered images better than other methods. In the aim of vali...

Concern has often been expressed that the performance of hearing protectors in steady noise may not apply to their performance in impulse noise. Our current.studies, as well as other studies, support the fact that there is a large difference in performance. In all cases, the performance of a protector is much better for impulse noise than for continuous noise. For example, we are obtaining at l...