Improving RLRN Image Splicing Detection with the Use of PCA and Kernel PCA

Figure 2

Standard deviation distributions of the extracted features. The rows indicate the standard deviation distributions of the features extracted from gray-scale images, red channel, and Cb channel of the colored images, respectively. The first column indicates the original features. The second column shows the features after applying PCA, while the third column shows the features after applying kernel PCA.