Ms. Shuoshuo Lin Profile

Shuoshuo Lin

at Fujian Normal Univ

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Proceedings Article | 6 May 2019 Paper

A color calibration method for images with infrared crosstalk based on BP neural network

Shuoshuo Lin, Hua Zheng, Lingling Xiao, Xiaowen Chen, Jianyong Cai, Xiaodong Liao

Proceedings Volume 11069, 110692Q (2019) https://doi.org/10.1117/12.2524263

KEYWORDS: Neural networks, Image processing, Infrared imaging, Neurons, Infrared radiation, RGB color model, Calibration

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This paper describes a novel method for correcting a color cast in an image which contains RGB and near-infrared crosstalk. We name this type of images as four-band images. The algorithm is based on the back propagation neural network. When a four-band image is put into the algorithm, it will use a trained weight matrix to transform this image into the normal one. This matrix is obtained by a BP algorithm which is used to find the implicit relationship between the input image and the corresponding target image. The size of the matrix is determined by the number of hidden layers of the neural network and the number of rows of the pixel matrix of the input and output images. In this paper, we acquire the weight matrix of the input layer to the hidden layer with a size of 506*486 and the weight matrix of the hidden layer to the output layer of 486*506. The camera used herein is a slightly modified CMOS sensor that replaces the IR-Cut filter with an 850 nm bimodal filter. The dataset used in this paper has five pairs of one-to-one correspondence images. One of them is a three-band image with normal color using the original IR-Cut filter, and the other is a four-band image taken by the modified CMOS sensor. The proposed method has been tuned and tested with positive results in this dataset.

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