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Digital image processing Examination 2 1. Calculate the value of the center pixel (gray background) using 2 3 4 a. Average filter 2 3 0 b. Median filter 0 2 1 c. Laplace filter, where the center coefficient is 8 d. Laplace filter, where the center coefficient is –4 e. If the original pixel values are of UINT-type, what kind of problems may arise with filtering ? Present how you calculated you answer, not just the final result. (1p each) 2. Here you see a frequency domain presentation of an image. a. b. c. d. e. How are the frequencies organized ? Where is the zero frequency ? What does the zero frequency tells us about the spatial domain image ? How do you obtain ideal low pass filtering ? How do you obtain gaussian high pass filtering ? What is the essential difference between ideal, Butterworth and Gaussian filters ? CONTINUES ON THE NEXT PAGE !!! 3. Color image processing. Answer briefly (1p each). a. Why it is useful to use color images ? b. How does human eye perceive colors ? c. What is RGB ? d. What is CMY ? e. In what applications RGB and CMY are used, respectively ? 4. Explain the process of image restoration using the Fourier transform and convolution theorem. (5p) That’s it. Thank you for your participation in this course, have a safe trip home and good luck for the future ☺ Jukka