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.
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 (2026). 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 LinuxCategories
- Image Processing and Computer Vision > Image Processing Toolbox > Image Filtering and Enhancement > Image Filtering >
Find more on Image Filtering in Help Center and MATLAB Answers
Tags
Discover Live Editor
Create scripts with code, output, and formatted text in a single executable document.
| Version | Published | Release Notes | |
|---|---|---|---|
| 1.0.0.0 |
