Pastel color imaging and its evaluation using video coding
Kasahara Go, Kenji Sugiyama · International Workshop on Advanced Image Technology (IWAIT) 2019 · 2019
In the color imaging, single sensor system with color filter array (CFA) is popular, especially with Bayer CFA. Performances of de-mosaicking for Bayer CFA are improved by using correlation of color planes, and, evaluated by reconstruction of color plane on still images. However, captured images is used for video coding recently. Therefore, it should be tested including video coding. We have proposed an imaging suitable for video coding. In this method, colors of CFA are changed to pastel color, also, the color plane reconstruction method that abstract the average component of RAW image are proposed. In this, the color of CFA is simulated by computer calculation. In this paper, we propose color plane reconstruction method using the average component and the color difference. In the experiments, we evaluate the reconstruction performance of RGB images and the overall performance include video coding. To evaluate coding performance, Y-PSNRs and coding bitrate between the original images and the decoded images are used. From the experiment, Y-PSNRs of proposal have the advantage. With the coding, the bitrate reduction is up to 30% at the same PSNR, because of less alias component.