Effect of quantization noise on visual signal detection in noisy images.
Data inaccuracy due to amplitude quantization in digital imaging systems can be viewed as a form of random noise. The effect of this noise is to reduce the accuracy of decisions based on image data. Experimental results are presented to demonstrate the reduction in human-observer decision accuracy due to quantization noise in addition to white Gaussian noise. There is a significant reduction when the ratio Q/sigma p is greater than unity, where Q is the quantization-step amplitude and sigma p is the standard deviation per pixel of the uncorrelated image noise.
D001288:Attention; D003626:Data Display; D004193:Discrimination Learning; D006801:Humans; D014796:Visual Perception