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...

This paper proposes several methods for noise reduction using deterministic side information about the desired signal as a constraint on the reconstruction. Two forms of side information are considered separately: short-time linear predictive coefficients, and short-time zero-phase impulse response coefficients. We derive general expressions for the ML, MAP and MMSE estimators, and develop algo...

The paper presents a fuzzy based impulse noise filter for both gray scale and color images. The proposed approach is based on the technique of boundary discriminative noise detection. The algorithm is a multi-step process comprising detection, filtering and color correction stages. The detection procedure classifies the pixels as corrupted and uncorrupted by computing decision boundaries, which...

Noise is a major issue while transferring images through all kinds of electronic communication. One of the most common noise in electronic communication is an impulse noise which is caused by unstable voltage. In this paper, the comparison of known image denoising techniques is discussed and a new technique using the decision based approach has been used for the removal of impulse noise. All th...

PDE-based image denoising processes often lead to significant loss of fine structures such as edges and textures. This article is concerned with numerical modeling for PDE-based denoising models that can preserve/recover fine structures in the restored image. The essentially non-dissipative schemes are considered to minimize nonphysical diffusion during the removal of impulse noise. For the rem...

Removal of noise is an essential and challengeable operation in image processing. Before performing any process, images must be first restored. Images may be corrupted by noise during image transmission through electronic media. Noise effect always corrupts any recorded image which is much more harmful for future process. To overcome the problem of noise level in digital images present a review...

In this paper, we present a novel method for the removal of impulse noise from digital color images. The proposed filter, called the First Order Difference based Fuzzy Filter. It operates in two stages detection of impulse noise and prediction of noise density using alpha trimmed mean followed by denoising, using first order difference and fuzzy filter .Experimental results demonstrate to be su...

Median-filters have been used for a very long time as an influential non-linear technique to removal of impulse noise. There have been many suggestions regarding the filters that can get rid of this noise while keeping the necessary details. However, these filters have one thing in common: They are only effective at low noise rate and thus are practical only for low-noise in image. Another thin...

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...