Noise Variance Estimation in Images

ثبت نشده
چکیده

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.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Speckle Noise Reduction for the Enhancement of Retinal Layers in Optical Coherence Tomography Images

Introduction One of the most important pre-processing steps in optical coherence tomography (OCT) is reducing speckle noise, resulting from multiple scattering of tissues, which degrades the quality of OCT images. Materials and Methods The present study focused on speckle noise reduction and edge detection techniques. Statistical filters with different masks and noise variances were applied on ...

متن کامل

Platelet-based MPLE algorithm for denoising of SPECT images: phantom and patient study

Introduction: In this study the evaluation of a Platelet-based Maximum Penalized Likelihood Estimation (MPLE) for denoising SPECT images was performed and compared with other denoising methods such as Wavelets or Butterworth filtration. Platelet-based MPLE factorization as a multiscale decomposition approach has been already proposed for better edges and surfaces representation due to Poi...

متن کامل

Blind estimation of white Gaussian noise variance in highly textured images

In the paper, a new method of blind estimation of noise variance in a single highly textured image is proposed. An input image is divided into 8x8 blocks and discrete cosine transform (DCT) is performed for each block. A part of 64 DCT coefficients with lowest energy calculated through all blocks is selected for further analysis. For the DCT coefficients, a robust estimate of noise variance is ...

متن کامل

Automatic estimation of the noise variance from the histogram of a magnetic resonance image.

Estimation of the noise variance of a magnetic resonance (MR) image is important for various post-processing tasks. In the literature, various methods for noise variance estimation from MR images are available, most of which however require user interaction and/or multiple (perfectly aligned) images. In this paper, we focus on automatic histogram-based noise variance estimation techniques. Prev...

متن کامل

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...

متن کامل

Characterization of Piecewise Smooth Images with Wavelets: Application to Noise Variance Estimation

We propose a novel approach to the characterization of geometric regions by use of wavelet coefficients. We show that in the absence of noise, geometric regions with edges behave differently from other regions as far as the evolution of their wavelet coefficients through scales is concerned. We use this particularity to identify piecewise smooth subimages in a noisy context on which we perform ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 1993