The dependence of visual noise perception on background color and luminance

Abstract

This paper describes the dependency of noise perception on background color and luminance of noise quantitatively. We conduct subjective and quantitative experiments for three noise models, using a modified grayscale method. The subjective experiment results show the perceived color noise depends on the background color, but the perceived luminance noise does not. The most sensitive background colors for color noises are yellow and purple. The perceived noises against background gray level show the similar trend between noise models. When the background gray level is L*~25, we perceive the noise best. In addition, the perceived chromatic noise level is about 8 times smaller than the calculated color noise using CIELAB Euclidean distance.

Image Sensor Modeling: Color Measurement at Low Light Levels

“…14,15 The rationale behind modeling digital camera imaging systems is, first, to reconstruct hyperspectral images taken by spectrometers, or to be used in computer graphics applications 16 , or, second, to evaluate the camera design and output image quality, or to optimize the performance of the camera in terms of some adjustable parameters (e.g., exposure time or ISO setting). 17,18 In terms of application, the results of this study can be utilized in developing low light image quality measures, introducing efficient denoising algorithms, developing realistic color noise perception models, 19 photons per unit of time can be obtained as follows 22 :…”