Introduction

 

Magnifying glass in the image

 

View more images

 

Geometrical transforms

 

Brightness profile

 

Histogram

 

Fourier transform

 

Features

 

Brightness/contrast corrrections

 

Flat-Field corrections

 

Inhomogeneous lighting correction

 

Gama correction

 »

Noise generation

 

Arithmetical and logical operation

 

Look Up Tables

 

2D convolution

 

Objects drawing

 

Morphological operations

 

Nonlinear filters

 

Bit fields

 

Sobel edge detection

 

Averaging

 

Colour images

 

 MIPS 2.0 - Medical/Microscopy Image Processing Software

 

 

NOISE GENERATION


Image / Add Noise

The ability to generate well-defined noise allows us to test the effectiveness of the implemented filters to reduce the noise added to the image.

Preview

 

Example

 

 

               Original image

 

 

 

         

 

Salt and Pepper noise (probability = 0.01) Salt and Pepper noise histogram within the synthetic image with constant brightness value of pixel 119

 

 

 

         

 

Gaussian noise (mean = 0, variance = 500) Gaussian noise histogram within the synthetic image with constant brightness value of pixel 119

 

 

 

         

 

Gamma noise (alpha = 5, variance = 500) Gamma noise histogram within the synthetic image with constant brightness value of pixel 0

 

         

 

Negative exponential noise (variance = 500) Negative exponential noise histogram within the synthetic image with constant brightness value of pixel 0

 

 

 

         

 

Rayleigh noise (variance = 500) Rayleigh noise histogram within the synthetic image with constant brightness value of pixel 0

 

 

 

         

 

Uniform noise (mean = 0, variance = 500) Uniform noise histogram within the synthetic image with constant brightness value of pixel 119

 

 


© 2000-2022, Václav Gerla, Jiųí Hozman, Martin Pop. In case of problems or questions don“t hesitate to contact us via email. Last update