An Improved Structure-Based Gaussian Noise Variance Estimation Method for Noisy Images
نویسندگان
چکیده
منابع مشابه
Difference Eigenvalue Based Gaussian Noise Variance Estimation for Images
Noise tends to impact the accuracy of digital image processing significantly. In this paper, a difference eigenvalue based noise variance estimation method is presented. This method first calculates the difference eigenvalue edge indicator values of every pixel in an image. Then, according to the indicator values, a proper threshold is set to determine if a pixel is a homogeneous or texture one...
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Figure 3: The distribution of the estimated noise in an image (Lenna) to which noise with a uniform shaped distribution is added. Also shown are the true noise distribution and the theoretically estimated distribution. The latter is obtained by convolving the (truncated) uniform function with a normal function.
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ژورنال
عنوان ژورنال: Journal of Signal Processing
سال: 2013
ISSN: 1342-6230,1880-1013
DOI: 10.2299/jsp.17.299