I have a very fundamental question about image processing and distortion. Suppose that we have two images: I[i,j] and J[i,j], where "i" ranges from 0 to 1919 and "j" ranges from 0 to 1199. Suppose that we create J[] from I[] by adding uniform white noise at each pixel of the image. Assume that each pixel is 24-bit RGB and that we add uniform white noise, independently, to the red plane, the green plane, and the blue plane. Suppose that MSEr is the mean squared error between the red planes of I[] and J[]. Similarly, suppose that MSEg and MSEb are the mean squared errors between the green planes and between the blue planes, respectively. We assume that MSEr = MSEg = MSEb. Now, here is the question concerning human perception. What is the maximum value of MSEr such that most people cannot detect a difference between I[] and J[]. Please respond publicly and by e-mail.

# Image Processing and Human Perception of Distortion

Started by ●November 21, 2003

Reply by ●November 21, 20032003-11-21