Artificial Neural Networks

This page and its subtopics discusses everything about Artificial Neural Networks.

Lectures discussing Artificial Neural Networks: Lecture 13 and Lecture 14

Relevant homework: Homework 2_Old Kiwi

References


Application of Neural Networks to Color Calibration

The below is a link to a paper which employs Neural Network in calibrating scanner.

Summary: The sanner calibrtion has largely two procedures, gray balancing and transfrom linear RGB data to device independent XYX data. The purpose of this paper is to improve the performance of transformation from RGB to XYZ. The traditional method to transfrom linear RGB to XYZ is to find 3x3 linear transform matrix by minimizing the perceptual error. The author argue that by using Neural Network more precise transform form linear RGB to XYZ can be achieved, as expected, since Neural Network provide more complex nonlinear transformation from input and output. He measuerd the transform error in perceptually uniform domain, and prove the strength of Neural Network in scanner calibration process.

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BSEE 2004, current Ph.D. student researching signal and image processing.

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