Audio and Video Production (Digital Imaging)
Showing 151-225 of 370 answers
It defines various image processing procedures which deals with the shape of features in an image
- dimensional image processing
- structural image processing
- compounded image processing
- It defines various image processing procedures which deals with the shape of features in an image Correct
It demonstrates that the low-frequency components lie in the center of the image and high-frequency components lie on the external of the image
- frequency components Correct
- internal frequency
- frequency filter
- frequency domain
It enables us to make tasks which would be terrible to perform any other way and its efficiency enables us to perform other tasks more quickly
- Frequency component
- Frequency filter
- Fourier transform Correct
- Frequency domain
It holds one of the most vital key role in navigation, gesture, identification, and communication interpretation
- Human Audio System
- Human Respiratory System
- Human Visual System Correct
- Human Digestive System
It identifies edges of images utilizing a Gaussian filter predefined having a standard deviation value
- Prewitt edge detector
- Roberts edge detector
- Canny edge detector Correct
- Sobel edge detector
It implies the closing of image by organizing elements
- f * s
- f - s
- f / s
- f * s Correct
It implies turning around a component around the boundaries
- Translation
- Rotate
- Shifting Correct
- Scale
It is a special case of Erlang/gamma noise with b = 1
- salt and pepper noise
- exponential noise Correct
- gaussian noise
- uniform noise
It is a transfer function that lacks an abrupt discontinuity and unambiguous cut-off between the passing and filtered frequencies This is called __________
- Butterworth HPF Correct
- Ideal High-Pass Filter
- Ideal Low-Pass Filter
- Butterworth LPF
It is an essential step for structural representation of the pattern shape
- True Correct
- False
It is an exceptional case of Erlang/gamma noise having b Equals 1
- gaussian noise
- uniform noise
- exponential noise Correct
- salt and pepper noise
It is at first multiplied with the input image f(x, y) so as to implement filtering in the frequency domain
- (-1) (x - y)
- (1) (x - y)
- (-1) (x + y) Correct
- (1) (x + y)
It is broadly castoff for copyright protection on multimedia data like digital images, videos, and audio signals against unauthorized distribution via the web
- copyright
- digital signature
- digital watermarking Correct
- watermarking
It is defined by a data class of uint8 or uint16
- mosaic image
- RGB image
- pixel image
- color image Correct
It is estimated by some researcher that having it in an independent spatial coordinates function would have no relevance at all to an image
- noise Correct
- dots
- frequency
- image
It is linear and it is invariant which can be modeled as convolution
- degradation values
- degradation parameter
- degradation syntax
- degradation function Correct
It is obtained along with the forward two-dimensional discrete Fourier transform (2D-DFT) of the end result
- F(u', v)
- F(-u, -v)
- F(u, v')
- F(u, v) Correct
It is possible to obtain a perfectly flat histogram because the discrete domain is not an approximation of the continuous domain
- True
- False Correct
It is required when any image is transmitted through a communication channel due to the band limitation of channels
- digital application
- image application
- image processing
- image compression Correct
It is the process by which critical information are extracted from within the signal This is called __________
- Statistical Signal Processing
- Signal Processing Correct
- Speech Signal Processing
- Biometrical Signal Processing
It is the process of embedding the owner's or user's secret information to cover data
- copyright
- digital signature
- watermarking Correct
- digital watermarking
It is used to design and implement JPEG 2000 standard
- embedding process
- discrete cosine transform (DCT)
- extraction process
- discrete wavelet transform (DWT) Correct
It is used to separate an image into constituent parts based on some image attributes This is called ________
- Thresholding
- Image Segmentation Correct
- SCILAB
- Point Detection
It is utilized principally to distinguish an object in an image
- image-processing algorithm
- template matching Correct
- image mosaicing
- hybrid compression
It is utilized to design and actualize JPEG 2000 standard
- embedding process
- extraction process
- discrete wavelet transform (DWT) Correct
- discrete cosine transform (DCT)
It is utilized to eradicate impulse noise which can't be removed by a traditional median filter
- adaptive max filter
- adaptive median filter Correct
- adaptive min filter
- adaptive mode filter
It is utilized to plan and actualize JPEG standard
- discrete cosine transform (DCT)
- extraction process
- embedding process
- discrete wavelet transform (DWT) Correct
It is where pixels in the chosen range are allotted a high value while the other pixels are not altered
- Gray Level Slicing with Background Correct
- Bit Plane slicing
- Gray Level Slicing without Background
- Gray Level Slicing
It is widely used for copyright protection of multimedia data such as digital images, videos, and audio signals against unauthenticated distribution over the internet
- copyright
- watermarking
- digital watermarking Correct
- digital signature
It is widely used in industry to find defects in products, for packing products, and for identification of objects
- image processing Correct
- image compression
- image application
- digital application
It is within thistype of color space where the luminance component of an image is represented by the component Y, and color information is represented by the two components Cb and Cr
- NTSC color space
- HSV color space
- CMY color space
- YCbCr color space Correct
It means rotating a component around the boundaries
- Rotate
- Scale
- Translation
- Shifting Correct
It means the general frequency of event of the various gray levels in the image
- Equalization
- Histogram Correct
- Log
- Imhist
It might ordinarily be one of its pixels, however, this might also be outside the structuring element
- shape of structuring element
- feature of structuring element
- layout of structuring element
- origin of structuring element Correct
It offers the arithmetical performance of noise intensity
- noise restoration descriptor
- dimensional noise descriptor
- spatial noise descriptor Correct
- noise enhancement descriptor
It pertains to the latest bit with the least value when the gray value of each pixel of an image is defined by 8-bit
- Most significant bit
- Highest significant bit
- Least significant bit Correct
- Smallest significant bit
It plots a squeaky range of dark input values into a bigger output value range or the other way around
- Power low conversion Correct
- Image negative conversion
- Identity conversion
- Log conversion
It points to the characterization of images in the digital world
- Resolution
- Bytes
- Hertz
- Pixel Correct
It refers to a color space which defines an image based from the usage of alternate light colors such as yellow, cyan, and magenta
- NTSC color space
- HSV color space
- YCbCr color space
- CMY color space Correct
It refers to a specific signal if for each value of the said signal is defined
- Aperiodic signal
- Discrete signal
- Deterministic signal Correct
- Continuous signal
It refers to a type of descriptor that sends the statistical behavior of a certain noise intensity
- noise restoration descriptor
- noise enhancement descriptor
- spatial noise descriptor Correct
- dimensional noise descriptor
It refers to edges that are recognized utilizing first-and second-order subsidiaries or derivatives
- image edges Correct
- object edges
- blur edges
- vector edges
It refers to pixels of object whose neighbor pixels have at least a value of 0 bits
- endpoint pixel
- borderline pixel Correct
- dotted pixel
- marginal line pixel
It refers to processing the image in the Fourier domain
- Fourier transdorm
- Periodic function
- Spatial domain filtering
- Image enhancement Correct
It refers to the cut-off frequency in an ideal LPF which determines non-negative distance
- Do Correct
- H(u, v)
- D(u, v)
It refers to the distance of the frequency component starting from the origin of the frequency plane in the filter function of an ideal LPF
- H(u, v)
- D(u, v) Correct
- Do
It refers to the inversion of the gray level, such as the black value pixel in the original image will now become the white value pixel in the processed image and/or vice versa
- Identity conversion
- Log conversion
- Image negative conversion Correct
- Gray level conversion
It refers to the magnitude response in the polar depiction of function
- |F(u', v')|
- F(u, v)
- |F(-u, -v)|
- |F(u, v)| Correct
It refers to the phase response in the polar depiction of function
- ϕ(-u, v)
- ϕ(u, v) Correct
- ϕ(u, -v)
- ϕ(u', v')
It refers to the seventh bit having the highest value if the gray value of each pixel of the image is characterized by 8-bit
- Least significant bit
- Most significant bit Correct
- Lowest significant bit
- Highest significant bit
It refers to the smallest item of information from within an image This is called _______
- Digital Image
- Pixel Correct
- Vector Image
- Picture
It refers to the structuring element which is situated within its origin at (x, y)
- corrosion
- dimension
- erosion
- dilation Correct
It shows that the low-frequency components lie in the focal point of the image and high-frequency parts lie on the external of the image
- frequency domain
- Internal frequency
- frequency components Correct
- frequency filter
It suppresses echoing of intermediate results in Scilab
- Semicolon (;) Correct
- F2
- Enter key
- Colon (
It was discovered during the seventeenth century and has become a critical tool for modern science and technology
- Digital Signal Processing Correct
- Aperiodic Signal Processing
- Deterministic Signal Processing
- Discreet Signal Processing
It was essentially introduced in the USA for the purpose of video transmission in television communication system
- YCbCr color space
- CMY color space
- NTSC color space Correct
- HSV color space
Its basic idea is to equalize all the histogram values making the whole gray level within the range 0 up to L-1 concealed
- Histogram matching
- Histogram
- Histogram equalization Correct
- Histogram stretching
Its fourier transform is usually described by its complex values
- f(x',y')
- f(-x,y)
- f(x,y) Correct
- f(x,-y)
Its full tool box are automatically installed when the software itself is installed
- Scilab
- Visual Studio
- Matlab Correct
- Linux
Its main objective is to descend features of the original image from its degraded version while having some information of degradation function and noise parameter
- image enhancement procedures
- deconvolution process
- image restoration process Correct
- convolution process
Its reaction is set up on ordering or ranking of pixels
- order statistics filter Correct
- median filter
- mid-point filter
- min filter
Its transfer function does not have a sharp discontinuity and obvious cut-off between the past frequency and filtered frequency
- ideal LPF
- butterworth LPF Correct
- ideal HPF
- butterworth HPF
Log conversion is utilized to compress the high pixel values so that the utilizer can see the image clearly
- True Correct
- False
Maps a slim range of dark input values into a larger range of output values or vice versa
- Log conversion
- Identity conversion
- Image negative conversion
- Power low conversion Correct
Mean filtering is a process where a degraded pixel from an image are decreased at a time to progress such restoration algorithm for any possible degraded pixel and merges the result of each process
- True
- False Correct
Median filter is very useful for removal of unipolar noise (salt or pepper) and bipolar noise (salt and pepper)
- True Correct
- False
Min filter is intended to remove pepper noise from a noisy picture and find bright spots within it
- True
- False Correct
Noises with parched values causing positive impulses being a white dot and negative impulses being a black dot
- True
- False Correct
Number of bits are required to represent the pixel values of color component images which determines the bit depth of the color image
- True Correct
- False
Object edges are the areas in which sudden intensity changes happen in images
- True Correct
- False
Order Statistics filter is established based on the ordering or ranking of pixels
- True Correct
- False
Periodic functions can be characterized as the integral of sines/cosines multiplied by the weighing function
- True
- False Correct
Periodic functions can be considered using the sum of the sine/cosine functions of different frequencies, multiplied by a dissimilar coefficient
- True Correct
- False
Periodic functions may be characterized by the sum of the sine or cosine functions of diverse frequencies, multiplied by a different coefficient
- True Correct
- False
Point detection is a crucial step in image segmentation
- True
- False Correct
