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Recent questions tagged digital-image-processing
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Digital image processing, Fourier kernel
The 2D Fourier kernels k(x,y,u,v) = e^(-j2π(ux/M + vy/N)) is - a)Separable and antisymmetric b)Symmetric but not separable c)Separable and symmetric d)Antisymmetric and not separable
subhash112
asked
in
Digital Image Processing
Nov 22, 2022
by
subhash112
60
views
digital-image-processing
fourier-kernal
non-gate
4
votes
0
answers
2
MTech and machine learning
I am a dropper and have worked an year on machine learning in the industry. I want to do learn more about ML/AI and image processing. I am getting a rank around 200(from GO rank predictor). I am open to 2 or 3 year courses and any college is fine as long as I get to work in my field of interest and the resources are good there. What are the best options for me?
subho16
asked
in
IISc/IITs
Feb 10, 2019
by
subho16
580
views
interview
mtech
machine-learning
digital-image-processing
artificial-intelligence
1
vote
1
answer
3
UGC NET CSE | November 2017 | Part 3 | Question: 18
The three aspects of Quantization, programmers generally concerned with are Coding error, Sampling rate and Amplification Sampling rate, Coding error and Conditioning Sampling rate, Aperture time and Coding error Aperture time, Coding error and Strobing
Arjun
asked
in
Computer Graphics
Nov 5, 2017
by
Arjun
922
views
ugcnetcse-nov2017-paper3
computer-graphics
digital-image-processing
1
vote
2
answers
4
UGC NET CSE | August 2016 | Part 3 | Question: 60
If the histogram of an image is clustered towards origin on X-axis of a histogram plot then it indicates that the image is ______. Dark Good contrast Bright Very low contrast
makhdoom ghaya
asked
in
Others
Oct 4, 2016
by
makhdoom ghaya
930
views
ugcnetcse-aug2016-paper3
digital-image-processing
1
vote
1
answer
5
UGC NET CSE | August 2016 | Part 3 | Question: 58
Which of the following is not used in standard JPEG image compression ? Huffman coding Runlength encoding Zig-zag scan K-L Transform
makhdoom ghaya
asked
in
Others
Oct 4, 2016
by
makhdoom ghaya
769
views
ugcnetcse-aug2016-paper3
digital-image-processing
image-compression
2
votes
3
answers
6
UGC NET CSE | June 2016 | Part 3 | Question: 58
Consider a discrete memoryless channel and assume that H(x) is the amount of information per symbol at the input of the channel; H(y) is the amount of information per symbol at the output of the channel. H(x $\mid$ y) is the amount of uncertainty remaining on x knowing y; and I( ... $\mid$ y)]; p(x) max H(x $\mid$y); p(x)
go_editor
asked
in
Digital Signal Processing
Aug 21, 2016
by
go_editor
1.3k
views
ugcnetcse-june2016-paper3
digital-image-processing
discrete-memoryless-channel
1
vote
1
answer
7
UGC NET CSE | December 2015 | Part 3 | Question: 51
Blind image disconvolution is Combination of blur identification and image restoration Combination of segmentation and classification Combination of blur and non-blur image None of the above
go_editor
asked
in
Digital Image Processing
Aug 11, 2016
by
go_editor
1.2k
views
ugcnetcse-dec2015-paper3
digital-image-processing
discovolution
2
votes
1
answer
8
UGC NET CSE | December 2015 | Part 3 | Question: 49
Consider the conditional entropy and mutual information for the binary symmetric channel. The input source has alphabet $X=\{0,1\}$ and associated probabilities ${\dfrac{1}{2}, \dfrac{1}{2}}$. The channel matrix is $\begin{pmatrix} 1-p & p \\ p & 1-p \end{pmatrix}$ ... : $1$ $-p \log(p)-(1-p) \log(1-p)$ $1+p \log(p)+(1-p) \log(1-p)$ $0$
go_editor
asked
in
Digital Image Processing
Aug 11, 2016
by
go_editor
1.8k
views
ugcnetcse-dec2015-paper3
digital-image-processing
entropy
2
votes
1
answer
9
UGC NET CSE | December 2014 | Part 3 | Question: 66
A Butterworth lowpass filter of order $n$, with a cutoff frequency at distance $D_{0}$ from the origin, has the transfer function $H(u, v)$ given by $\frac{1}{1+\left[\frac{D(u, v)}{D_{0}}\right]^{2n}}$ ... $\frac{1}{1+\left[\frac{D_{0}}{D(u, v)}\right]^{n}}$
makhdoom ghaya
asked
in
Digital Signal Processing
Aug 2, 2016
by
makhdoom ghaya
1.1k
views
ugcnetcse-dec2014-paper3
digital-image-processing
butterworth-lowpass-filter
1
vote
1
answer
10
UGC NET CSE | December 2014 | Part 3 | Question: 65
Given a simple image of size $10 \times 10$ whose histogram models the symbol probabilities and is given by $P_{1}$ $P_{2}$ $P_{3}$ $P_{4}$ a b c d The first order estimate of image entropy is maximum when $a = 0, b = 0, c = 0, d = 1$ ... $a=\frac{1}{4}, b=\frac{1}{4}, c=\frac{1}{4}, d=\frac{1}{4}$
makhdoom ghaya
asked
in
Digital Image Processing
Aug 2, 2016
by
makhdoom ghaya
1.7k
views
ugcnetcse-dec2014-paper3
digital-image-processing
entropy
3
votes
1
answer
11
UGC NET CSE | December 2014 | Part 3 | Question: 64
Given two spatial masks $S_{1}= \begin{bmatrix} 0&1&0 \\ 1&-4&0 \\ 0&1&0 \end{bmatrix}$ $S_{2} = \begin{bmatrix} 1&1&1 \\ 1&-8&1 \\ 1&1&1 \end{bmatrix}$ ... can be used as the spatial mask ? only $S_{1}$ only $S_{2}$ Both $S_{1}$ and $S_{2}$ None of these
makhdoom ghaya
asked
in
Digital Signal Processing
Aug 2, 2016
by
makhdoom ghaya
1.6k
views
ugcnetcse-dec2014-paper3
digital-image-processing
spatial-mask
3
votes
2
answers
12
UGC NET CSE | Junet 2015 | Part 3 | Question: 65
The redundancy in images stems from pixel decolleration pixel colleration pixel quantization image size
go_editor
asked
in
Others
Aug 2, 2016
by
go_editor
1.5k
views
ugcnetcse-june2015-paper3
data-compression
digital-image-processing
2
votes
1
answer
13
UGC NET CSE | December 2013 | Part 3 | Question: 31
Consider the formula in image processing $R_D = 1- \frac{1}{C_R}$ where $C_R = \frac{n_1}{n_2}. \quad C_R$ is called as compression ratio $n_1$ and $n_2$ denotes the number of information carrying units in ... this situation $R_D$ is called as relative ____ of the first data set. Data Compression Data Redundancy Data Relation Data Representation
go_editor
asked
in
Others
Jul 28, 2016
by
go_editor
721
views
ugcnetcse-dec2013-paper3
digital-image-processing
1
vote
1
answer
14
UGC NET CSE | September 2013 | Part 3 | Question: 55
MPEG involves both spatial compression and temporal compression. The spatial compression is similar to JPEG and temporal compression removes _____ frames. Temporal Voice Spatial Redundant
go_editor
asked
in
Computer Graphics
Jul 24, 2016
by
go_editor
2.0k
views
ugcnetcse-sep2013-paper3
computer-graphics
digital-image-processing
image-compression
3
votes
2
answers
15
UGC NET CSE | June 2013 | Part 3 | Question: 57
If f(x, y) is a digital image, then x, y and amplitude values of f are Finite Infinite Neither finite nor infinite None of the above
go_editor
asked
in
Computer Graphics
Jul 19, 2016
by
go_editor
2.2k
views
ugcnetcse-june2013-paper3
computer-graphics
digital-image-processing
2
votes
1
answer
16
UGC NET CSE | June 2013 | Part 3 | Question: 56
The number of distinct binary images which can be generated from a given binary image of right M $\times$ N are M+N M $\times$ N 2$^{M+N}$ 2$^{MN}$
go_editor
asked
in
Computer Graphics
Jul 19, 2016
by
go_editor
1.3k
views
ugcnetcse-june2013-paper3
computer-graphics
digital-image-processing
3
votes
1
answer
17
UGC NET CSE | June 2013 | Part 3 | Question: 31
Images tend to be very large collection of data. The size of memory required for a 1024 by 1024 image in which the color of each pixel is represented by a n-bit number, (in an 8-bit machines) is n $\times$ 8 MB n/8 MB (1024 $\times$ 1024)/8 MB 1024 MB
go_editor
asked
in
Computer Graphics
Jul 17, 2016
by
go_editor
2.1k
views
ugcnetcse-june2013-paper3
computer-graphics
digital-image-processing
1
vote
2
answers
18
UGC NET CSE | June 2013 | Part 3 | Question: 19
An image is 1024$*$800 pixels with 3 bytes/pixel. Assume the image is uncompressed. How long does it make to transmit it over a 10 Mbps Ethernet? 196.6 seconds 19.66 seconds 1.966 seconds 0.1966 seconds
go_editor
asked
in
Computer Graphics
Jul 16, 2016
by
go_editor
3.4k
views
ugcnetcse-june2013-paper3
computer-graphics
digital-image-processing
2
votes
2
answers
19
UGC NET CSE | June 2012 | Part 3 | Question: 22
The transform which possess the highest ‘energy compaction’ property is Slant transform Cosine transform Fourier transform Karhunen-Loeve transform
go_editor
asked
in
Others
Jul 7, 2016
by
go_editor
1.8k
views
ugcnetcse-june2012-paper3
digital-image-processing
0
votes
0
answers
20
image enotropy
Sanjay Sharma
asked
in
Digital Image Processing
Jun 30, 2016
by
Sanjay Sharma
258
views
digital-image-processing
5
votes
3
answers
21
ISRO2015-65
Which of the following is not an image type used in $\text{MPEG}?$ $\text{A}$ frame $\text{B}$ frame $\text{D}$ frame $\text{P}$ frame
go_editor
asked
in
Digital Image Processing
Jun 21, 2016
by
go_editor
4.2k
views
isro2015
digital-image-processing
non-gate
5
votes
1
answer
22
ISRO2015-63
Which of the following compression algorithms is used to generate a $\textsf{.png}$ file? $\text{LZ78}$ Deflate $\text{LZW}$ Huffman
go_editor
asked
in
Digital Image Processing
Jun 20, 2016
by
go_editor
3.4k
views
isro2015
digital-image-processing
image-compression
non-gate
4
votes
1
answer
23
ISRO2014-7
What does a pixel mask mean? string containing only $1\text{'s}$ string containing only $0\text{'s}$ string containing two $0\text{'s}$ string containing $1\text{'s}$ and $0\text{’s}$
Nijpriya Advait
asked
in
Digital Image Processing
Jun 10, 2016
by
Nijpriya Advait
6.5k
views
non-gate
digital-image-processing
isro2014
0
votes
0
answers
24
IMAGE
Sanjay Sharma
asked
in
Digital Image Processing
May 6, 2016
by
Sanjay Sharma
212
views
digital-image-processing
non-gate
7
votes
3
answers
25
ISRO-2013-10
If the frame buffer has 8 bits per pixel and 8 bits are allocated for each of the $R, G, B$ components, what would be the size of the lookup table? $24$ bytes $1024$ bytes $768$ bytes $256$ bytes
makhdoom ghaya
asked
in
Digital Image Processing
Apr 25, 2016
by
makhdoom ghaya
8.5k
views
isro2013
digital-image-processing
0
votes
0
answers
26
UGC NET CSE | December 2012 | Part 3 | Question: 64
If the Fourier transform of the function f(x,y) is F(m,n), then the Fourier transform of the function f(2x,2y) is $\frac{1}{4} F (\frac{m}{2}, \frac{n}{2})$ $\frac{1}{4} F (2m, 2n)$ $\frac{1}{4} F (m,n)$ $\frac{1}{4} F (\frac{m}{4}, \frac{n}{4})$
Sanjay Sharma
asked
in
Digital Image Processing
Apr 13, 2016
by
Sanjay Sharma
1.4k
views
ugcnetcse-dec2012-paper3
fourier-transform
digital-image-processing
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