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Audio and Video Production (Digital Imaging)

Showing 226-300 of 370 answers

Regularly viewed as a time waveform, for example, x(t)
  • Multi-Dimensional Signal
  • Three-Dimensional Signal
  • Two-Dimensional Signal
  • One-Dimensional Signal Correct
Research analysts assumes that it is an independent function of spatial coordinates and it is irrelevant to the image
  • noise Correct
  • image
  • frequency
  • dots
Rotation Property is used to spin or turn an object's frequency component values while developing a spatial domain picture
  • True
  • False Correct
Scilabis a proprietary software where all the features, data types, and toolboxes are already prepositioned
  • True
  • False Correct
Searches for the top matched features from two featured objects and its corresponding matching matrix
  • im2int8
  • imbestmatches Correct
  • im2bw
  • imgraythresh
Sharpening of a color image using a linear spatial filter is the same as sharpening a gray-scale image
  • True Correct
  • False
Since 2003, this software had been maintained and improved by the Scilab consortium and was merged with the Digiteo Foundation way back in July 2008
  • True Correct
  • False
Since both the spatial and frequency domain are periodic or intermittent, shifting refers to rotating a component around the limitations
  • True Correct
  • False
Spatial area separation points to the operation where the image is finished by convolving the original image with a filtering mask
  • True
  • False Correct
Template matching technique of combining two pictures captured using a camera that has a restricted capture area
  • True
  • False Correct
The actual depth if each color component image is an 8-bit image the color image
  • 16-bit depth
  • 32-bit depth
  • 42-bit depth
  • 24-bit depth Correct
The actual depth if every color element image having an 8-bit color image
  • 32-bit depth
  • 24-bit depth Correct
  • 16-bit depth
  • 42-bit depth
The actual number of colors in an 8-bit color image
  • 16,777,216 colors Correct
  • 15,723,661 colors
  • 32,455,322 colors
  • 19,277,162 colors
The algorithm for image mosaicing can be designed and implemented using a basic image addition process and thresholding
  • True Correct
  • False
The contrast thresholding conversion is utilized to increase details of images that are gathered using low illumination conditions, an image sensor with a lower dynamic range, or with wrong camera lens settings
  • True
  • False Correct
The corresponding estimate pixel values of the image are then attained by taking the inverse Fourier transform
  • True Correct
  • False
The degradation H function is linear and it is invariant which can be modeled as convolution
  • True Correct
  • False
The easiest way to approximate noise parameters is from the set of adapted noise from flat environments
  • True
  • False Correct
The element which is referred to components which are played a fixed matrix size
  • structuring element
  • index element
  • dimension of element Correct
  • decimal element
The entire objectis divided into subtypes with an object presented in it and each image with this object is compared with the template image using a correlator
  • True
  • False Correct
The equation used where the processed pixel must have the same gray level as to the original pixel
  • S=r Correct
  • g(x,y) = P(f(x,y))
  • S = P(r)
  • r=S
The filter parameters of periodic noise are assessed in the frequency domain
  • True
  • False Correct
The filter which is utilized to eradicate salt noise from the noisy image and to search dark points in the image
  • order statistics filter
  • min filter Correct
  • media filter
  • mid-point filter
The filter's strength may be calculated by calculating the proportion of total power contained inside a circle of radius D0 centered at the frequency plane's origin
  • True Correct
  • False
The following are used in classifying signals except _________
  • Energy
  • Shapes
  • Time Intervals
  • Radiation Correct
The greater part of which are tarnished by noise during their procurement and/ or transmission
  • values
  • noise
  • parameters
  • images Correct
The handling of this signal has a sound history and is of extraordinary importance in different fields as speech communication, biomedical engineering, and military communication
  • Two-Dimensional signal
  • Multi-Dimensional Signal
  • Three-Dimensional signal
  • One-Dimensional signal Correct
The high-pass frequency domain filter allows low-frequency components to go through and high-frequency components are deteriorated
  • True
  • False Correct
The impact from laplacian of a Gaussian edge detector which relies on the quality of standard deviation
  • detecting
  • edging
  • blurring Correct
  • filtering
The inverse discrete Fourier transform is give as
  • True
  • False Correct
The Laplacian of Gaussian (LOG) function has two effects on an image: it smoothes the image that is corrupted by noise and it computes the Laplacian, which gives a double-edged image
  • True Correct
  • False
The Laplacian of Gaussian (LOG) function have 2 possible effects to an image: either it soften the image having corrupted by noise, or it calculates the Laplacian, which gives a double-edged image
  • True Correct
  • False
The least complex edge detector algorithm that was proposed and actualized by Lawrence Roberts way back in 1963
  • Prewitt edge detector
  • Sobel edge detector
  • Roberts edge detector Correct
  • Canny edge detector
The low rank approximation property of discrete cosine transform (DCT) is also used for image compression
  • image compression
  • image application
  • image processing Correct
  • digital application
The low rank estimation property of discrete cosine transform (DCT) is additionally utilized for image compression
  • True
  • False Correct
The mathematical equation of Identity Conversion is S=L-r-1
  • True
  • False Correct
The only way to convert the multiplication into addition in homomorphic filtering is by applying a logarithm on both sides
  • True Correct
  • False
The outcome is that any sharp transition, for example, edges and boundaries will be replaced with a smooth transition (blurred) This filter is called as the smoothing filter
  • Low-pass frequency domain filter Correct
  • Smooth transition
  • Unsharp masking
  • High-pass frequency domain filter
The outcome is that if spatial domain values turn, then the corresponding frequency components rotates or turns
  • Translation property
  • Rotation property Correct
  • Shift property
  • Scale property
The outcome would be, any blurred in an image will be substituted with a sharp edges
  • High-pass frequency domain filter Correct
  • Low-pass frequency domain filter
  • Smooth transition
  • Unsharp masking
The pixel in the picture is covered by any on pixel in the structuring element This is called ______
  • Component
  • Hit Correct
  • Morphology
  • Fit
The Prewitt edge detector is easier to implement than the Sobel detector but introduces more noise as a result
  • True Correct
  • False
The primary field of application used for gamma ray imaging
  • SIgnal processing
  • Image processing Correct
  • Pixel processing
  • Binary processing
The procedure wherein the input is the watermarked data itself and the yield is the extracted watermarked data
  • extraction process Correct
  • discrete wavelet transform (DWT)
  • discrete cosine transform (DCT)
  • embedding process
The process by which the structuring is arranged by its origin at (x,y) and its new approximation of the pixel is calculated using the rule (x,y)=1 if the value of s fits the value of f
  • erosion of image Correct
  • corrosion of image
  • dilation of image
  • dimension of image
The process of histogram equalization escalates the vigorous range of the image and, hence, progresses the contrast of the image
  • True
  • False Correct
The property type of the gradient vector that points to the direction of the highest rate of change of the image vector having coordinates (x, y)
  • location property
  • fundamental property Correct
  • physical property
  • common property
The representation of the magnitude reaction to depict a function
  • |F(-u, -v)|
  • |F(u, v)| Correct
  • F(u, v)
  • |F(u', v')|
The result would be, any blurred in an image would be replaced with a sharp edges
  • Low-pass frequency domain filter
  • High-pass frequency domain filter Correct
  • Smooth transition
  • Unsharp masking
The Roberts edge detection method was developed and implemented by Johnny Roberts in 1968
  • True
  • False Correct
The role of structuring elements in morphological image processing is the same as the role of convolution kernels in spatial linear filtering
  • True Correct
  • False
The rotate property is characterized using the equation: and
  • True Correct
  • False
The rotation property extends the frequency component values of an object, which develop in an image in the spatial domain
  • True
  • False Correct
The SCILAB function parameter for an RGB color space having change over to the YCbCr color space
  • YCC = ycbcr2rgb(RGB);
  • YCC=ycbcr2cmyk(CMY)
  • YCC = rgb2cmy(CMYK)
  • YCC = rgb2ycbcr(RGB); Correct
The SCILAB function syntax for an RGB color space converted to the YCbCr color space
  • YCC = ycbcr2rgb(RGB);
  • YCC=ycbcr2cmyk(CMY)
  • YCC = rgb2ycbcr(RGB); Correct
  • YCC = rgb2cmy(CMYK)
The SCILAB function syntax for converting the RGB color space to the CMY color space isCMY = imcomplement(RGB)
  • True Correct
  • False
The shifting transform of a real function f(x, y) is commonly characterized by complex values
  • True
  • False Correct
The simple data type in Scilab is a matrix and all functions for matrix operations are in-built in Scilab
  • True Correct
  • False
The simple morphological processing is the same to spatial filtering
  • True Correct
  • False
The simplest edge detector algorithm is the Prewitt edge detector
  • True
  • False Correct
The simplest edge detector algorithm, which was proposed and implemented by Lawrence Roberts in 1963
  • Roberts edge detector Correct
  • Prewitt edge detector
  • Sobel edge detector
  • Canny edge detector
The Sobel edge detector detects edges in horizontal, vertical, or both directions in the image
  • True Correct
  • False
The standards where unwanted frequency coefficients of images are abandoned and the image is reconstructed using the remaining coefficients with a predefined threshold
  • template matching
  • image processing
  • image compression standards Correct
  • image mosaicking
the term which actually refers to YCbCr
  • gamma-adjusted RGB
  • chroma subsampling
  • cathode ray
  • luminance, chrominance Correct
The thickening procedure is similar to erosion, however it does not result in the loss of object components
  • True
  • False Correct
The thickening procedure is used to increase a percentage of an object
  • True Correct
  • False
The thresholding procedure serves as the initial step in image enhancement for ease of deployment of image processing applications
  • True Correct
  • False
The transfer function of the Gaussian HPF is characterized as
  • True
  • False Correct
The type and degree of enhancement acquired to an image depends on the nature of the definite histogram
  • True Correct
  • False
The type of images produced by using a gamma-ray
  • Ultraviolet imaging
  • Visual imaging
  • Gamma-ray imaging Correct
  • X-ray imaging
The watermarking process is divided into two: the embedding process and the extraction process
  • True Correct
  • False
Thedimension of the elements is characterized by a specified matrix size
  • True Correct
  • False
There is an inbuilt function 'Canny' edge algorithm in SCILAB and the syntax for this algorithm is given as:
  • True
  • False Correct
There is an inbuilt function 'Canny' edge algorithm in SCILAB and the syntax for this algorithm is:
  • True Correct
  • False
These are dictated by large changes in the gray level value over a short distance such as noise and edges
  • High-frequency coefficient Correct
  • High-pass average filter
  • Low-frequency
  • Low-pass average filter
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