A New Impulse Noise Detection and Filtering Algorithm
نویسنده
چکیده
A new impulse detection and filtering algorithm is proposed for restoration of images that are highly corrupted by impulse noise. It is based on the average absolute value of four convolutions obtained by one-dimensional Laplacian operators. The proposed algorithm can effectively remove the impulse noise with a wide range of noise density and produce better results in terms of the qualitative and quantitative measures of the images even at noise density as high as 90%. Extensive simulations show that the proposed algorithm provides better performance than many of the existing switching median filters in terms of noise suppression and detail preservation.
منابع مشابه
Improved 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 کاملAn Improved Switching Median filter for Uniformly Distributed Impulse Noise Removal
The performance of an image filtering system depends on its ability to detect the presence of noisy pixels in the image. Most of the impulse detection schemes assume the presence of salt and pepper noise in the images and do not work satisfactorily in case of uniformly distributed impulse noise. In this paper, a new algorithm is presented to improve the performance of switching median filter in...
متن کاملImage Denoising Based On Fast Noise Estimation Methods and Median Algorithm
Impulse noise detection is a critical issue when removing impulse noise and impulse/Gaussian mixed noise. In this paper, we propose a new detection mechanism for universal noise and a universal noise-filtering framework based on the nonlocal means (NL-means). The operation is carried out in two stages, i.e., detection followed by filtering. For detection, first, we propose the robust outlyingne...
متن کاملProgressive Switching Median Filter for the Removal of Impulse Noise from Highly Corrupted Images - Circuits and Systems II: Analog and Digital Signal Processing, IEEE Transactions on
A new median-based filter, progressive switching median (PSM) filter, is proposed to restore images corrupted by salt–pepper impulse noise. The algorithm is developed by the following two main points: 1) switching scheme—an impulse detection algorithm is used before filtering, thus only a proportion of all the pixels will be filtered and 2) progressive methods—both the impulse detection and the...
متن کاملUniversal De-Noising Framework with a New Impulse Detector Algorithm
In this paper, new detection mechanism for universal noise and a universal noise-filtering framework based on the nonlocal means (NL-means) has been proposed. It introduce new statistics ROR for describing the outlyingness of the pixels and propose a new detection mechanism. The proposed approach can be adapted to various models such as salt and pepper impulse noise and randomvalued impulse noi...
متن کامل