Introduction

 

Magnifying glass in the image

 

View more images

 

Geometrical transforms

 

Brightness profile

 

Histogram

 

Fourier transform

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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

 

 

 

Statistical variables

 

Centroid

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SNR/PSNR

 

 

SNR/PSNR


Image / Characteristics / SNR/PSNR

SNR (Signal-to-Noise Ratio) and PSNR (Peak Signal-to-Noise Ratio) estimate the quality of the reconstructed image compared to the original image. The specific value of this quantity does not say anything, the reconstruction quality measure is obtained by comparing the results of two differently reconstructed images.

     

where f is the original image, F is the reconstructed image, N is the total number of pixels in the image.

Using the following relation we can calculate the error image.

     

The image is loaded from the main program window. In the working window, specify the location of the second image. Then the SNR and PSNR values are calculated. Both values are displayed, and the error difference image is also displayed.

Preview

 

 

 


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