An algorithm for medical X-ray image enhancement based on human visual properties and improved PCNN image factorization is proposed.
提出一种基于人眼视觉特性和改进的PCNN图像因子分解的X线医学图像增强算法。
By given a test image, the expressions in the training set can be "translate" to the input image by using factorization model and vice versa.
当给出一张测试人脸图像时，我们利用因素分解模型的“转移”算法合成测试人脸在训练集已有表情下的图像和训练集人脸在测试人脸表情下的图像。
By given a test image, the expressions in the training set can be "translate" to the input image by using factorization model and vice versa.
当给出一张测试人脸图像时，我们利用因素分解模型的“转移”算法合成测试人脸在训练集已有表情下的图像和训练集人脸在测试人脸表情下的图像。
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