Irtorgb

From Psych 221 Image Systems Engineering
Revision as of 23:39, 14 December 2018 by imported>Student2018 (Introduction)
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Introduction

In this project, we applied several machine learning algorithms like L3 (Local, Linear and Learned) and a neural network based model to find the appropriate mapping from NIR to RGB visible spectrum which human eyes are more sensitive to. We evaluate the results based on the CIELAB delta E metric for measuring difference in human perception level and the RMSE metric for quantitatively measuring pixels differences across image.

Background

L3 Method

CNN Method

Results

Conclusions

Appendix I

Appendix II

You can write math equations as follows: y=x+5

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