An Efficient Approach For Non Linear Filter Design In Spatial Domain For High Density Impulse Noise Removal In Digital Images
نویسندگان
چکیده
A spatial domain non linear filtering algorithm for the restoration of gray scale, and Color images that are corrupted by high density impulse noise is proposed. The proposed algorithm well suited for suppressing impulse and also Gaussian noises with different noise leves.It shows better results than the Standard Median Filter (MF), Trimmed Median Filter (TMF) and Weighted Median Filter. Experiment Result shows the proposed algorithm has advantages over regularizing methods in terms of both edge preservation and noise removal and it gives the better Peak Signal to Noise Ratio (PSNR) compared to other techniques even in the high noise densities. KeywordsDifferent noises (Gaussian and Impulse Noises), Non linear filters, heavily contaminated image.
منابع مشابه
An Enhanced Median Filter for Removing Noise from MR Images
In this paper, a novel decision based median (DBM) filter for enhancing MR images has been proposed. The method is based on eliminating impulse noise from MR images. A median-based method to remove impulse noise from digital MR images has been developed. Each pixel is leveled from black to white like gray-level. The method is adjusted in order to decide whether the median operation can be appli...
متن کاملImproved Adaptive Median Filter Algorithm for Removing Impulse Noise from Grayscale Images
Digital image is often degraded by many kinds of noise during the process of acquisition and transmission. To make subsequent processing more convenient, it is necessary to decrease the effect of noise. There are many kinds of noises in image, which mainly include salt and pepper noise and Gaussian noise. This paper focuses on median filters to remove the salt and pepper noise. After summarizin...
متن کاملLow latency IIR digital filter design by using metaheuristic optimization algorithms
Filters are particularly important class of LTI systems. Digital filters have great impact on modern signal processing due to their programmability, reusability, and capacity to reduce noise to a satisfactory level. From the past few decades, IIR digital filter design is an important research field. Design of an IIR digital filter with desired specifications leads to a no convex optimization pr...
متن کاملA comparative study of Impulse Noise Reduction methods in Digital images
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 ...
متن کاملAn Effective Adaptive Nonlinear Filter for Removing High Density Impulse Noises in Gray-Scale Images
Digital images are often distorted by Impulse noise during the process of analog-to-digital conversion, transmission and storage in the physical medias. This type of error certainly changes the properties of some of the pixels while some of the other pixels remain unchanged. In order to remove impulse noise and enhance the distorted image quality, we have tested the number of nonlinear filters ...
متن کامل