Least Mean Square Error Image Difference

Version 1.0.0.0 (2.9 KB) by David Smith
Compute the image difference with the minimum mean square error.
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Updated 19 Nov 2010

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The LMSE package contains two subroutines. LMSE computes the minimum mean square error (MSE) possible if one image is allowed to be linearly scaled in intensity. LMSEDIFF computes the difference image after the target image is scaled according to the scaling that minimizes the MSE. This is a better way to compare images if the absolute magnitude of the intensity has no meaning.

Cite As

David Smith (2025). Least Mean Square Error Image Difference (https://www.mathworks.com/matlabcentral/fileexchange/29461-least-mean-square-error-image-difference), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2010b
Compatible with any release
Platform Compatibility
Windows macOS Linux
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Version Published Release Notes
1.0.0.0