MCQOPTIONS
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MCQOPTIONS
This section includes 50 Mcqs, each offering curated multiple-choice questions to sharpen your Digital Image Processing knowledge and support exam preparation. Choose a topic below to get started.
| 1. |
One that is not a part of digital filter |
| A. | unit delay |
| B. | multiplier |
| C. | subtractor |
| D. | adder |
| Answer» D. adder | |
| 2. |
Heisenberg uncertainty principle is used for |
| A. | data processing |
| B. | information processing |
| C. | data processinerosion |
| D. | dilation |
| Answer» C. data processinerosion | |
| 3. |
Lowpass Gaussian filtering produces |
| A. | Gaussian pyramids |
| B. | pyramids |
| C. | mean pyramids |
| D. | equalized histogram |
| Answer» B. pyramids | |
| 4. |
The size of the base image will be |
| A. | N-1 x N-1 |
| B. | N+1 x N-1 |
| C. | N-1 x N |
| D. | N x N |
| Answer» E. | |
| 5. |
Prediction residual pyramid is computed in |
| A. | 2 steps |
| B. | 3 steps |
| C. | 4 steps |
| D. | 5 steps |
| Answer» C. 4 steps | |
| 6. |
Modulated version of filter is defined by the equation |
| A. | h5(n) = (-1)nh1(n) |
| B. | h5(n) = h1(n) |
| C. | h5(n) = (-1)n |
| D. | h = (-1)nh1(n) |
| Answer» B. h5(n) = h1(n) | |
| 7. |
Function having compact support is |
| A. | histogram |
| B. | pyramids |
| C. | mean pyramids |
| D. | haar function |
| Answer» E. | |
| 8. |
The apex of image pyramid contains |
| A. | low resolution |
| B. | high resolution |
| C. | intensity |
| D. | blurred portion |
| Answer» B. high resolution | |
| 9. |
The scaling function is |
| A. | pentagonal |
| B. | square |
| C. | orthogonal |
| D. | oval |
| Answer» D. oval | |
| 10. |
In multiresolution processing * represents the |
| A. | complete conjugate operation |
| B. | complex conjugate operation |
| C. | complete complex operation |
| D. | complex complex operation |
| Answer» C. complete complex operation | |
| 11. |
Narrow wavelets represents |
| A. | sharp details |
| B. | finer details |
| C. | blur details |
| D. | edge details |
| Answer» C. blur details | |
| 12. |
Decomposition in subband coding is performed to |
| A. | segment image |
| B. | reconstruct image |
| C. | blur image |
| D. | sharpened image |
| Answer» C. blur image | |
| 13. |
Subband of input image, showing dD(m,n) is called |
| A. | approximation |
| B. | vertical detail |
| C. | horizontal detail |
| D. | diagonal detail |
| Answer» E. | |
| 14. |
Heisenberg uncertainty principle is viewed as |
| A. | tiles |
| B. | blocks |
| C. | squares |
| D. | circles |
| Answer» B. blocks | |
| 15. |
No filtering produces |
| A. | Gaussian pyramids |
| B. | pyramids |
| C. | mean pyramids |
| D. | subsampling pyramids |
| Answer» E. | |
| 16. |
Function space is referred to as |
| A. | open span |
| B. | fully span |
| C. | closed span |
| D. | span |
| Answer» D. span | |
| 17. |
The function changing the shape is called |
| A. | scaling function |
| B. | shaping function |
| C. | down sampling |
| D. | blurring |
| Answer» B. shaping function | |
| 18. |
Representing image in more than one resolution is |
| A. | histogram |
| B. | image pyramid |
| C. | local histogram |
| D. | equalized histogram |
| Answer» C. local histogram | |
| 19. |
Low contrast images are considered as |
| A. | low resolution |
| B. | high resolution |
| C. | intense |
| D. | blurred |
| Answer» C. intense | |
| 20. |
Discarding every sample is called |
| A. | up sampling |
| B. | filtering |
| C. | down sampling |
| D. | blurring |
| Answer» D. blurring | |
| 21. |
Function can be represented with |
| A. | arbitrary precision |
| B. | filtering |
| C. | down sampling |
| D. | prototype |
| Answer» B. filtering | |
| 22. |
Filter banks consists of |
| A. | 1 FIR filter |
| B. | 2 FIR filters |
| C. | 3 FIR filters |
| D. | 4 FIR filters |
| Answer» C. 3 FIR filters | |
| 23. |
Processing the image in small parts is |
| A. | histogram |
| B. | pyramids |
| C. | local histogram |
| D. | equalized histogram |
| Answer» D. equalized histogram | |
| 24. |
Haar transformation is defined by |
| A. | T = HFHT |
| B. | T = HFH |
| C. | T = HFT |
| D. | T = HT |
| Answer» B. T = HFH | |
| 25. |
Subband of input image, showing a(m,n) is called |
| A. | approximation |
| B. | vertical detail |
| C. | horizontal detail |
| D. | diagonal detail |
| Answer» B. vertical detail | |
| 26. |
DSF stands for |
| A. | Design signal filtering |
| B. | Digital signal filtering |
| C. | Digital segment filtering |
| D. | Design segment filtering |
| Answer» C. Digital segment filtering | |
| 27. |
Neighborhood averaging produces |
| A. | histogram |
| B. | pyramids |
| C. | mean pyramids |
| D. | equalized histogram |
| Answer» D. equalized histogram | |
| 28. |
Ak coefficients are computed by |
| A. | integrated outer products |
| B. | integrated inner products |
| C. | integral outer products |
| D. | integral inner products |
| Answer» E. | |
| 29. |
Moving up in pyramid he size |
| A. | increases |
| B. | remain same |
| C. | decreases |
| D. | blurred |
| Answer» D. blurred | |
| 30. |
MRA stands for |
| A. | Multiresolution analysis |
| B. | Multiresolution assembly |
| C. | Multiresemble analysis |
| D. | Multiresemble assembly |
| Answer» B. Multiresolution assembly | |
| 31. |
High contrast images are considered as |
| A. | low resolution |
| B. | high resolution |
| C. | intense |
| D. | blurred |
| Answer» B. high resolution | |
| 32. |
Subband of input image, showing dv(m,n) is called |
| A. | approximation |
| B. | vertical detail |
| C. | horizontal detail |
| D. | diagonal detail |
| Answer» C. horizontal detail | |
| 33. |
Decomposing image into band limit components is called |
| A. | low coding |
| B. | high coding |
| C. | intense coding |
| D. | subband coding |
| Answer» E. | |
| 34. |
Integer wavelet translates are |
| A. | pentagonal |
| B. | square |
| C. | orthogonal |
| D. | oval |
| Answer» D. oval | |
| 35. |
The image pyramid contains |
| A. | j levels |
| B. | j-1 levels |
| C. | j+1 levels |
| D. | n levels |
| Answer» B. j-1 levels | |
| 36. |
K multiplication constants in digital filters are called |
| A. | co efficient |
| B. | multipliers |
| C. | subtractors |
| D. | filter coefficients |
| Answer» E. | |
| 37. |
Diagonally opposed filters is said to be |
| A. | modulation |
| B. | multiplier |
| C. | cross modulation |
| D. | subband coding |
| Answer» D. subband coding | |
| 38. |
In upsampling after every sample placing value is |
| A. | 1 |
| B. | 0 |
| C. | 2 |
| D. | 3 |
| Answer» C. 2 | |
| 39. |
CWT stands for |
| A. | Complete wavelet transform |
| B. | Complex wavelet transform |
| C. | Continuous wavelet transform |
| D. | Continuous wavelet transformation |
| Answer» D. Continuous wavelet transformation | |
| 40. |
Images are |
| A. | 1D arrays |
| B. | 2D arrays |
| C. | 3D arrays |
| D. | 4D arrays |
| Answer» C. 3D arrays | |
| 41. |
Subspaces spanned are nested at |
| A. | lower scales |
| B. | higher scales |
| C. | mid scales |
| D. | intense scales |
| Answer» C. mid scales | |
| 42. |
MRA equation is also called |
| A. | modulating equation |
| B. | FIR filter |
| C. | dilation equation |
| D. | span equation |
| Answer» D. span equation | |
| 43. |
Scaling vectors are taken as |
| A. | heights |
| B. | sharpness |
| C. | intensity |
| D. | weights |
| Answer» E. | |
| 44. |
FWT stands for |
| A. | Fast wavelet transformation |
| B. | Fast wavelet transform |
| C. | Fourier wavelet transform |
| D. | Fourier wavelet transformation |
| Answer» C. Fourier wavelet transform | |
| 45. |
Subband of input image, showing dH(m,n) is called |
| A. | approximation |
| B. | vertical detail |
| C. | horizontal detail |
| D. | diagonal detail |
| Answer» D. diagonal detail | |
| 46. |
The base of image pyramid contains |
| A. | low resolution |
| B. | high resolution |
| C. | intensity |
| D. | blurred portion |
| Answer» C. intensity | |
| 47. |
DSP stands for |
| A. | Digital signal processing |
| B. | Design signal processing |
| C. | Digital signal processed |
| D. | Design signal processed |
| Answer» B. Design signal processing | |
| 48. |
Orthonormal filter is developed around filter called |
| A. | up sampling |
| B. | filtering |
| C. | Digital segment filtering |
| D. | prototype |
| Answer» E. | |
| 49. |
DWT stands for |
| A. | Discrete wavelet transform |
| B. | Discrete wavelet transformation |
| C. | Digital wavelet transform |
| D. | Digital wavelet transformation |
| Answer» B. Discrete wavelet transformation | |
| 50. |
Wavelet series equation is the sum of |
| A. | scaling coefficient |
| B. | detail coefficient |
| C. | span coefficient |
| D. | Both a and b |
| Answer» E. | |