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Lab-2 (2D Linear Systems) Pre-Evaluation Form

  Q1. Locate/Identify any low frequency area in the image shown in the following figure:

  Q2. Locate/Identify any high frequency area in the image shown above.

  Q3. Low Pass Filter (LPF) removes the higher frequencies and therefore makes the image:

    a) Blurred
    b) Sharp
    c) Dark
    d) b. and c. of the above

  Q4. High Pass Filter (HPF) removes the low frequencies and therefore makes the image:

    a) Blurred
    b) Sharp
    c) Dark
    d) a. and b. of the above

  Q5. The sum of the values of the impulse response of a 2D FIR filter has to do with the following:

    a) Cutoff frequency of the filter
    b) Intensity level of the image
    c) Has no effect on the image
    d) Defines the filter type

  Q6. Averaging operation does the following to the input image:

    a) Smoothes out the image
    b) Brightens the image
    c) Remove the noise from the image
    d) a. and c. of the above
    e) b. and c. of the above

  Q7. Convolution operation can be used for noise removal as well as feature enhancement.

    a) True
    b) False

  Q8. Two 2D sequences, each of which is 5*6 points in extent, are convolved using (8*8)-point DFT. a) Will the output of this convolution operation be circular or linear? b) If the output is linear, state why? If the output is circular, what measures need to be taken in order to get the linear convolution result?

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