These Digital Imaging multiple-choice questions and their answers will help you strengthen your grip on the subject of Digital Imaging. You can prepare for an upcoming exam or job interview with these 60+ Digital Imaging MCQs.
So scroll down and start answering.
A. Any color can be matched by mixing at the most three colored lights.
B. The luminance of a color mixture is equal to the sum of the luminance of its components.
C. The human eye can resolve the components of a color mixture.
D. A color match at one luminance level holds over a wide range of luminances.
A. 0.5
B. 2.5
C. 5
D. 10
A. comparator-expander
B. compressor-expander
C. comparator-modulator
D. compressor-demodulator
A certain oscilloscope with a 4cm by 4cm screen has its sweep output fed to its input. If the x and y sensitivities are the same, the oscillosope will display a_______.
A.
triangular wave
B.
diagonal line
C.
sine wave
D.
circle
A. bit
B. pixel
C. dit
D. point
A. Feature extraction
B. Segmentation
C. Classification
D. None of the above
A. Wiener filter
B. FIR filter
C. Kalman filter
D. All of the above
A. Pixel coding
B. Predictive coding
C. Transform coding
D. All of the above
A. Geographical mapping
B. Prediction of agricultural crops
C. Weather forecasting
D. All of the above
A. gaps
B. redundancy
C. time
D. space
A. rods and cones
B. cones and lens
C. rods and lens
D. lens and eyelid
A. Analog to digital conversion
B. Digital to analog conversion
C. Analog to analog conversion
D. Digital to digital conversion
A. Only the sinusoidal waveform
B. Only the non-sinusoidal waveform
C. Both a and b
D. Only the square waveform
A. image filtering
B. image compression
C. image sampling
D. image perception
A. 150nm to 250nm
B. 380nm to 750nm
C. 350mm to780 mm
D. 350um to 780um
Which of the following statements represents the Bloch's law?
A. Light flashes of different duration but equal energy are indistinguishable.
B. When a slowly flashing light is observed, the individual flashes are distinguishable.
C. The eye is more sensitive to the flickering of high spatial frequencies than low spatial frequencies
D. All of the above
A. One input sample
B. Zero input sample
C. Two input samples
D. Four input samples
A. fast binary transform
B. slow binary transform
C. fast unitary transform
D. slow unitary transform
A. Predictive coding
B. Transform coding
C. Pixel coding
D. Color image coding
A. Image perception
B. Image segmentation
C. Image compression
D. Image sampling
A. two-dimensional picture
B. three-dimensional picture
C. one-dimensional picture
D. All of the above
A. If the number of quantization levels is more than that required in gray scale quantization.
B. If the number of quantization levels is less than that required in grey scale quantization.
C. When there is not a single level of quantization in gray scale quantization. All of the above
A. Matched filter
B. Dumb filter
C. Weiner filter
D. Band stop filter
A. Background law
B. Dark shadow effect
C. Mach band effect
D. Power band effect
A. Wood
B. Cloth
C. Grain
D. All of the above
A. Noise model
B. Sampled observation model
C. Iimage formation model
D. All of the above
A. The VTVM requires warm-up time
B. The VTVM has high input impedance
C. The power consumption of the VTVM is more in comparison with the TVM
D. The VTVM cannot be operated on a low voltage source
A. Line drawings
B. Letters
C. Newsprints
D. All of the above
A. Non-linear filters
B. Linear filters
C. Non-recursive filter
D. Inverse filters
A. image restoration technique
B. image enhancement technique
C. image analysis technique
D. image segmentation technique
A. Photoconductive
B. Photo emissive
C. Photosensitive
D. All the above
A. C/R
B. R/C
C. L/R
D. R/L
A. photopic vision
B. isotopic vision
C. photographic vision
D. mesopic vision
A.
A straight line with 45 degree angle with +ve x-axis
B.
An ellipse
C.
A square
D.
A straight line with 135 degree angle with +ve x-axis
A.
Isotopic vision
B.
Orthographic vision
C.
Scotopic vision Â
D.
Isotropic vision
A. Least square filtering
B. Fourier domain filtering
C. Recursive filtering
D. Interpolation filtering
A. luminance, brightness
B. brightness, luminance
C. hue, brightness
D. brightness, hue
A. Centre of mass
B. Orientation
C. Bounding rectangle
D. All of the above
A. Template matching
B. Texture matching
C. Boundary detection
D. All of the above
A. Ramp conversion
B. Dual slope conversion
C. Successive- approximation conversion
D. All of the above
A. Speckle noise reduction
B. Maximum entropy
C. Bosch Method
D. Bayesian method
A. Nyquist rate
B. Aliasing
C. Quantization
D. Digitization
A. Medial axis transform
B. Skeleton algorithms
C. Thinning algorithm
D. All of the above
A. Modulation
B. Filtering
C. Quantization
D. Demodulation
A. High pass filter
B. Low pass filter
C. Band pass filter
D. Band stop filter
A. Non-linear
B. Linear
C. Exponential
D. None of the above
A. Feature extraction
B. Segmentation
C. Classification
D. All of the above
A. Frequency domain
B. Time domain
C. Both frequency and time domain
A. Delta modulation
B. Zonal coding
C. Adaptive coding
D. Interframe techniques
A. Ramp type
B. Dual slope integrating type
C. Integrating type
D. All of the above