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FUNDAMENTAL OF DIGITAL IMAGE PROCESSING

Explore key concepts in digital image processing like bit storage, sampling frequency, physical size calculation, convolution operation, under sampling effects, and gap filling techniques. Improve your knowledge with detailed explanations and answers to common questions.

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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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