Introduction

 

Magnifying glass in the image

 

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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

 

 

AVERAGING


Image / Averaging

Averaging is useful when you have multiple matching frames of a static scene that are noisy with normal distribution noise. The resulting value of each pixel is calculated as the arithmetic mean of the pixel values from all input images. If we have input images I1,I2,...,In the resulting image is then computed from the following relation:

     

This type of averaging increases signal to noise ratio (S/N).

First, we select all the images we want to average one by one. We can select them one at a time, or we can select several at once. All loaded images must have the same size, the program will not allow loading images of different sizes.

Preview

 

Example

Averaging from 10 noisy frames

 

                    One of the 10 input images
                (contains noise with normal distribution)

 

 

 

                         Result after averaging

 


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