# A Variety of Choice Methods for Image-Based
## 4 Experiment Results and Analysis  
The proposed versatile framework has been implemented by a window-based program, as shown in Figure 5. Based on the concept of \"What You See Is What You Get\" (WYSIWYG), the window consists of five sub-windows which are called the main window and four Thumbnail Previews, respectively. Initially, the \(S_{\rm C}\) and C images are read and displayed on the upper left and upper right sides of the main window. Next, select the content- or the style-preserved module and execute. The resultant \(C_{P}\) or \(S_{P}\) images will be displayed at the bottom left or bottom right side of the main window. The default is module (1), however, the user can easily change the module and adjust the parameters \(k_{1}\) and \(k_{2}\) to find the most satisfactory module. The processing results are obtained and analyzed in real time. In the following, several experiments are conducted. Effect of Different Modules of the Post-Processing Framework  
The first experiment demonstrates the operations and corresponding results of the proposed versatile framework. The C image is a digital painting image, and its \(S_{C}\) image is generated by the UST_5. The \(S_{C}\), C, and the resultant \(C_{P}\) and \(S_{P}\) images are shown in Figure 5, respectively. Compared to the \(S_{C}\) and C images, both the \(C_{P}\) and \(S_{P}\) images achieve their intended functionality. By the default settings in modules (1), we have \(k_{1}=k_{2}=0\). Thus, the \(C_{P}\) image can keep the spatial details of the C image and maintain the color information of the \(S_{C}\) image while the \(S_{P}\) image is the result of the opposite function provided by modules (2). To evaluate modules (3) and (4), the parameter \(k_{1}\) is set between 0 and 1 to obtain an image with different mixing effects. The \(C_{P}\) images with \(k_{1}=0.2,\ 0.5,\ \text{and}\ 0.8\) from left to right in sequence are displayed on the upper row in Figure 6. The bottom row is the \(S_{P}\) images with the same \(k_{1}\) values as \(C_{P}\). Compared to the original \(S_{C}\) and C images in Figure 6, the style effect in the \(C_{P}\) images are increased gradually by increasing the \(k_{1}\) value. On the contrary, the style effects in the \(S_{P}\) images are then decreased gradually. As expected, both modules (3) and (4) achieve the design goals, this allows the user to flexibly choose his favorite composition of the C and \(S_{C}\) images. In order to make the image contrast more variable, the modules (5) and (6), extended from the modules (3) and (4), can perform contrast reduction or enhancement. First, set the value of \(k_{1}\) by choosing a favorite type of mixing, and then adjust the \(k_{2}\) value to control the required saturation. When \(k_{2}<0\), the contrast is reduced, the smaller the \(k_{2}\) is, the lower the contrast of the image, but when \(k_{2}>0\), the effect is just the opposite, that is, the contrast is enhanced. The resultant images with different \(k_{2}\) values are demonstrated in Figure 7. The first row is displayed the reduced-contrast \(C_{P}\) images with a fixed \(k_{1}=0.5\) and \(k_{2}=-0.8,-0.5,\ \text{and}\ -0.2\), from left to right in sequence. The second row shows the enhanced-contrast \(C_{P}\) with the same \(k_{1}\) value, but \(k_{2}=0.2,\ 0.5,\ \text{and}\ 0.8\), respectively. The third and fourth rows are the contrast-reduced and -enhanced \(S_{P}\) images with the same \(k_{1}\) and \(k_{2}\) values as the first and second rows, respectively. As can be seen in Figure 7, the saturation of each image has reached the desired effect. This demonstrates that Equation (3) can execute the functions of replacement, mixing, and contrast adjustment to improve the neural stylized image. Figure 5: Upper left—the \(S_{C}\) image; upper right—the C image; bottom left—the \(C_{P}\) image; bottom right—the \(S_{P}\) image; and middle—Main window. Figure 6: Upper row: the mixed effects for the \(C_{P}\) images with \(k_{1}=0.2\), \(0.5\), and \(0.8\), from left to right.