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.