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FUNDAMENTAL OF DIGITAL IMAGE PROCESSING

FUNDAMENTAL OF DIGITAL IMAGE PROCESSING. BY R.SHANMUGASUNDARAM. QUESTION 1. 1.————–number of bits are required to store a 128 X 128 image with 256 gray levels OPTION a)327680 b)1048576 c)294912 d)131072 ANSWER :128*128*8(grey image) = 131072. QUESTION2.

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FUNDAMENTAL OF DIGITAL IMAGE PROCESSING

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  1. FUNDAMENTAL OF DIGITAL IMAGE PROCESSING BY R.SHANMUGASUNDARAM

  2. QUESTION 1 • 1.————–number of bits are required to store a 128 X 128 image with 256 gray levels • OPTION • a)327680b)1048576c)294912d)131072 • ANSWER :128*128*8(grey image) = 131072

  3. QUESTION2 • 2.————–Sampling frequency greater than • OPTION • a) nyquist sampling • b) over sampling • c) under sampling • d) critical sampling • ANSWER:FS>FN=OVER SAMPLING

  4. QUESTION -3 • 3.—————An image is 2400 pixels wide and 2400 pixels high. The image was scanned at 600 dpi. What will be the physical size of the image. • a) 1.7 inches x 1.7 inches • b) 4 inches x 4 inches • C) 17 cm x 17 cm • d). 4 cm x 4 cm • ANSWER:4 cm x 4 cm

  5. QUESTION-4 • 4.—————-In frequency domain, what is the equivalent operation of product of two functions in spatial domain • a) correlation • b) convolution • c) Fourier transform • d) fast Fourier transform • ANSWER:convolution

  6. In mathematics, the convolution theorem states that under suitable conditions the Fourier transform of a convolution is the pointwise product of Fourier transforms. In other words, convolution in one domain (e.g., time domain) equals point-wise multiplication in the other domain (e.g., frequency domain).

  7. Question-5 • 5.————– What effect is caused by under sampling • a) summation • b) smoothing • c) sharpening • d) aliasing • ANSWER:aliasing • Fs<Fm =aliasing • Fs>Fm=sampling • Fs=Fm=Nquist

  8. QUESTION-6 • 6.————–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) Interpolation • c) Filters • d) None of the above • ANSWER: • Interpolation

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