Timeline for Peak Signal to Noise Ratio of Images
Current License: CC BY-SA 3.0
5 events
| when toggle format | what | by | license | comment | |
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| Sep 21, 2018 at 22:55 | comment | added | UDB | @bill s The Eucledian distance between two images is nothing but the square root of the sum over all pixels and channels of squared differences of corresponding scalars. That has nothing to do with MSE. The latter is the mean of the pixel-wise squared Euclidean distance of all the scalar or vectorial values. For vectorial values, to compute the arithmetic mean you will need to divide the sum of all these squared Euclidean distances by a product of width * height * channels. | |
| Aug 8, 2013 at 14:53 | comment | added | bill s | @user8727 - you're welcome, but the normal thing to do is to click the little up arrow if you find the answer useful. | |
| Aug 8, 2013 at 14:27 | comment | added | user8727 | ThankU soo much for Ur time and kind reply..... | |
| Aug 8, 2013 at 14:16 | history | edited | bill s | CC BY-SA 3.0 |
added 143 characters in body
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| Aug 8, 2013 at 14:04 | history | answered | bill s | CC BY-SA 3.0 |