Filtering-Based Noise Estimation for Denoising the Image Degraded by Gaussian Noise

  title={Filtering-Based Noise Estimation for Denoising the Image Degraded by Gaussian Noise},
  author={Tuan-Anh Nguyen and Min-Cheol Hong},
In this paper, a denoising algorithm for the Gaussian noise image using filtering-based estimation is presented. To adaptively deal with variety of the amount of noise corruption, the algorithm initially estimates the noise density from the degraded image. The standard deviation of the noise is computed from the different images between the noisy input and its' pre-filtered version. In addition, the modified Gaussian noise removal filter based on the local statistics such as local weighted mean… 

Homogeneity classification for signal-dependent noise estimation in images

An intensity-variance homogeneity classification technique to classify images corrupted with additive Poisson-Gaussian noise based on intensity and variance, which localizes the noise-representative homogenous regions in the image.

Additive White Gaussian Noise Level Estimation for Natural Images Using Linear Scale-Space Features

A simple, fast, and accurate NLE method for AWGN, where the statistical features of high-frequency details of noisy input image are obtained at multiple linear (Gaussian) scale-space which are used to construct a feature vector.


A noise equalization method in intensity and frequency domain which enables a white Gaussian noise filter to handle real noise and a new method to assess the quality of the denoised video frames without a reference (clean frames).

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Objective and subjective simulations demonstrate that the proposed method outperforms other noise estimation techniques, both in accuracy and speed.

Image Noise Estimation Based on Fuzzy C Means Algorithm

The fuzzy c means clustering algorithm to detect the homogeneous blocks is proposed in this paper and will help in the selection of image denoising algorithm.

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An automated system for noise identification and estimation technique by adopting the Artificial intelligence techniques such as Probabilistic Neural Network (PNN) and Fuzzy logic concepts and performance is evaluated for classification accuracies.

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This work proposes a novel workflow supported by a software package, guided by user input, which will allow the sorting of the similar photos accordingly to their technical characteristics and the user requirements, and expects that the process of choosing the best photo, and discarding of the remaining, becomes reliable and more comfortable.

A Bibliography of Papers in Lecture Notes in Computer Science (2012): Volumes 6121{7125

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A two-stage algorithm, called switching-based adaptive weighted mean filter, is proposed to remove salt-and-pepper noise from the corrupted images by replacing each noisy pixel with the weighted mean of its noise-free neighbors in the filtering window.

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