Peak Signal to Noise Ratio
The ratio between the maximum possible power to the power of
corrupting noise is know as Peak Signal to Noise Ratio. It affects
the fidelity of its representation .It can be also said that it is the
logarithmic function of peak value of
image and mean square error.
Entropy provides information for the homogeneity of the existing distribution.
E=sum (Pi . log(Pi)) where pi is probability for the i state (pixel).
The entropy (E) takes low values in the edge region and high values in the flat regions.
entropy take high value at edge region and love value at flat region.
if we detect edges of an image using two different edge detection operator..
how we compare their PSNR, MSE, Entropy?
IF PSNR is high what does that mean?
if MSE is High what does that mean?
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