Question-1:

  1. Define a digital image.
  2. Explain the steps involved in digital image processing (DIP).
  3. What is a geometric transformation?
  4. Obtain the digital negative of the 8-bit gray level image shown on the right.

Question-2:

  1. What is meant by pixel?
  2. Write short notes on neighbors of a pixel.
  3. Differentiate Median and Mean filter.
  4. Given a image shown on the right. What will the value of the center pixel change to when this image is passed through
  • Arithmetic mean filter
  • Geometric mean filter
  • Harmonic mean filter
  • Max-filter
  • Min-filter?

Question-3:

  • What do you mean by Color model? List the applications of color models.
  • Explain CMY color model.
  • Briefly explain how RGB color image can be converted to grayscale image.
  • With neat figures, show the histograms of four basic types of images; i.e., dark, bright, low-contrast, and high-contrast images.

Question-4:

  1. What is Hue and saturation?
  2. What is the difference between grayscale image and binary image?
  3. What is the number of bits required to store a image with gray levels?
  4. Given grey scale image with pixel intensities between [37..209].
    • What point operation is necessary to map the pixels to the [0..255] range?
    • What point operation is necessary to go from [0..255] back to [37..209]?
    • Do you think you will get the same image back again? Explain.

Question-5:

  1. The two images shown on the right are quite different, but their histograms are identical. Both images have size , with white (1) and black (0) pixels. Suppose that both images are blurred with smoothing mask.
    • Would the resultant histograms still the same?
    • Draw the two histograms and explain your answer.
  2. Given a grayscale image I, we want to find all its pixels that are in the domain [a, b]. Design a function F = func(I, a, b) that returns a binary matrix F that is of the same size as I, where 1 for pixels satisfying the domain condition and 0 otherwise.