2020 Volume 53 Pages 55-60
The image processing based on human visual characteristics is effective for the appearance of images and it is researched by many researchers. Nonaka1) created the noise reduction algorithm based on human visual characteristics that noise on the edge is difficult to see. This algorithm can remove noise while suppress the image quality degradation. And Ishihara2) revealed spatial-frequency characteristic of human visual is anisotropic using subjective evaluation.
On the other hand, some display have wide variety of display area size and pixel density. For example, a smartphone's pixel density is higher than TV's. Because a smartphone's viewing distance is short, it is sensitive to differences in image quality. Thus, the image quality is related viewing distance and pixel density.
In this research, the relationship between angular pixel density and noise perception with subjective evaluation was investigated and modeled.