论文标题
预测相机的模型
Predict the model of a camera
论文作者
论文摘要
在这项工作中，我们解决了根据照片的内容预测相机模型的问题。我们使用两组功能，一组由从离散小波域（DWD）提取的属性组成，该属性通过应用4级快速小波分解而获得的属性，第二组是局部二进制图案（LBP）特征，从图像的后滤波器噪声中获得。用于分类的算法是逻辑回归，K-NN和人工神经网络
In this work we address the problem of predicting the model of a camera based on the content of their photographs. We use two set of features, one set consist in properties extracted from a Discrete Wavelet Domain (DWD) obtained by applying a 4 level Fast Wavelet Decomposition of the images, and a second set are Local Binary Patterns (LBP) features from the after filter noise of images. The algorithms used for classification were Logistic regression, K-NN and Artificial Neural Networks
