Digital Image Processing Assignment 1 Solution

 

 

1.What is the number of bits required to store a 100 x 100 grayscale image with 60 gray levels? 

a) 40000

 b) 60000

 c) 50000

 d) 240000

 2.In frequency domain, what is the equivalent operation of product of two functions, -x(t) and
y(-t) in spatial domain?

a) correlation

b) convolution

c) Fourier transform

d) fast Fourier transform

 3.A cosine wave of frequency 50 Hertz is sampled at sampling frequency of 80 Hertz. Is it possible to recover the signal?

a. Yes with only low-pass filter

b. Not possible

c. Yes but with some cascaded filter

d. Can't Say Anything

 4.What is the sampling frequency less than Nyquist rate called?

a. Nyquist sampling

b. over sampling

c. under sampling 

d. critical sampling

 5.A physical colored image of width = 1 inch and height =2 inches is scanned at 600 dpi. What will be the size (Rows x Columns) of digital image in pixels?

a. 1200 x 600

b. 600 x 1200

c. 1200 x 1200

d. 600 x 600

 6.What will be the value of delta function, *f(t − 2)8(t − 2)dt?

a. Infinity

b. 0

c. f(t-2)

d. f(0)

 7.Redundancy in Digital image implies

a. Similar value of pixels in the local neighborhood region

b. Similar value of pixels throughout image

c. Similar value of pixels in local regions that contain object boundaries/edges

d. Unpredictable nature of pixels in small neighborhood

 8.Which of the following should be used for filling gaps in digital image that results from operations like zooming, shrinking, rotation etc.?

a) Sampling.

b) Filtering.

c) Interpolation.

d) None of the above.

9. Assuming that a 5m high structure is observed from a distance of 10m. What is the size of image in a pin-hole camera? Assume that the distance between the lens and imaging plane is 10mm.

a. 10 mm

b. 5 cm

C. 5 mm

d. 10 cm

 10.Which of the following is not studied under Digital Image Processing?

a. Designing lens geometry and choosing lens material for least chromatic and spatial aberrations

b. Applying spatial filters with fixed coefficients for Image enhancement

c. Transforming image based on its statistical properties

d. Applying frequency transforms to image for Image compression