Medical image compressionAdaptive White Gaussian Noise (AWGNOptimum Image CompressionTelemedicine provides medical information and services using telecommunication technologies. Teledermatology, is a special part in the medical field of dermatology and one of the most common applications of telemedicine and e...
噪声:Practical Poissonian-Gaussian noise modeling and fitting for single-image raw-data,程序员大本营,技术文章内容聚合第一站。
Switch tonew thesaurus Noun1.white noise- a noise produced by a stimulus containing all of the audible frequencies of vibration; "white noise is a good masking agent" interference,noise,disturbance- electrical or acoustic activity that can disturb communication ...
We present a simple and usable noise model for the raw-data of digital imaging sensors. This signal-dependent noise model, which gives the pointwise standard-deviation of the noise as a function of the expectation of the pixel raw-data output, is composed of a Poissonian part, modeling the...
Hi, i would like to know how to add a Gaussian noise distribution of SD 1% and 0 mean to a uniform grid consisting of particle pairs. (P1x,P1y),(P2x,P2y) contain the location of the points in my grid and they are data taken from a PIV Simulation. so should i add use the com...
I want to create a 2D variable (Y1, Y2) whose probability density function is 1/sqrt(2*pi*sigma1*sigma2)*exp[(Y1-mu1)^2/2/sigma1^2]*exp[(Y2-mu2)^2/2/sigma2^2] Do you have any idea how to do it? I know gnoise can create 1D Gaussian noise, but it seems Igor does no...
噪声:Optimal inversion of the generalized Anscombe transformation for Poisson-Gaussian noise,程序员大本营,技术文章内容聚合第一站。
Secure and reversible data hiding scheme for healthcare system using magic rectangle and a new interpolation technique 4.2.2 Additive white Gaussian noise To evaluate fragility, the image is tested with additive white Gaussian noise (AWGN). The resulting images and objective metrics are shown in Fig...
Noise reduction is one of the most important topics of digital image processing and despite the fact that it has been studied for a long time it remains the subject of active research. In the following work, we present an extension of the Mean Shift tech
Image noise can often be accurately fitted to a Poisson-Gaussian distribution. However, estimating the distribution parameters from a noisy image only is a challenging task. Here, we study the case when paired noisy and noise-free samples are accessible. No method is currently available to ...