Modeling and application of color noise perception dependent on background color and spatial frequency

The perception of color noise is important for image processing and for understanding the human vision mechanism. To reveal the perception of color noise quantitatively, we have conducted subjective experiments with modeled color noises. We use vector color noises varied in a CIELAB ab-plane to study the perception properties of color noise in detail. Our results show that the perception of color noise depends on background colors, luminance, spatial frequencies and noise models. The perception of vector color noises shows bipolar shape. The bipolar shapes of high spatial frequency noises rotate a little clockwise than the ones of low spatial frequency. Noises with low spatial frequencies are perceived easier than noises with high spatial frequencies. Using these experimental results, we make a perception model for color noise levels. We also propose a denoising workflow by applying the perception model to a random sampling filter.