Nowadays, mobile phone set makers are implementing a full screen display by changing the mounting form factor of the front camera, which is superior in design. When it comes to smart phone front-facing cameras, the hole type front-facing camera degrade the industrial design, while pop-up style camera has also limitation in terms of waterproofness and durability. In the case of Under Display Camera(UDC) which is in its final form factor by design, where a camera is placed underneath the screen, the display panel on the light-receiving path degrades the camera optical sensitivity and causes decrease in image quality performance due to regular display panel pattern. In order to commercialize the UDC, improving image quality of the UDC and exact measurement are crucial. However, subjectively evaluating image taken through the display panel is challenging task measure the image quality performance. This paper introduces a numeric based UDC image quantitative measurement method as a more objective evaluation way.
The state-of-the art smartphones have a motion correction function such as an electric image stabilizer and record the video without shaking. As the motion is corrected in various ways according to the set maker, there is a difference in performance and it is difficult to distinguish clearly its performance. This paper defines the Effective angle of View and Motion, for video motion correction performance evaluation. In the case of motion, we classified the motion volume, motion standard deviation, and motion frequency parameters. The performance of motion correction on the electronic device can be scored for each of parameters. In this way, the motion correction performance can be objectively modelled and evaluated.