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Recent questions tagged digitalimageprocessing
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UGC NETPaperIII Nov2017(64)
64. A 4*4 DFT matrix is given by 1\2 1 1 1 1 1 x 1 y 1 1 1 1 1 j 1 j (j2= 1) Where values of x and y are , respectively. (1)1,1 (2)1,1 (3)j,j (4)j,j
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Nov 6, 2017
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mahalakshmi r
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digitalimageprocessing
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UGCNETNov2017iii18
The three aspects of Quantization, programmers generally concerned with are: A. Coding error, Sampling rate and Amplification B. Sampling rate, Coding error and Conditioning C. Sampling rate, Aperture time and Coding error D. Aperture time, Coding error and Strobing
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Nov 5, 2017
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Computer Graphics
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Arjun
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ugcnetnov2017iii
computergraphics
digitalimageprocessing
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UGCNETDec2015III49
Consider the conditional entropy and mutual information for the binary symmetric channel. The input source has alphabet $X=\{0,1\}$ and associated probabilities ${\frac{1}{2}, \frac{1}{2}}$ ... probability. Then the conditional entropy is given by: 1 plog(p)(1p)log(1p) 1+plog(p)+(1p)log(1p) 0
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Aug 11, 2016
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Digital Image Processing
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jothee
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ugcnetdec2015iii
digitalimageprocessing
entropy
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4
UGCNETDec2014III66
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 $\frac{1}{1+\left[\frac{D(u, v)}{D_{0}}\right]^{2n}}$ $\frac{1}{1+\left[\frac{D(u, v)}{D_{0}}\right]^{n}}$ $\frac{1}{1+\left[\frac{D_{0}}{D(u, v)}\right]^{2n}}$ $\frac{1}{1+\left[\frac{D_{0}}{D(u, v)}\right]^{n}}$
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Aug 2, 2016
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Digital Signal Processing
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makhdoom ghaya
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510
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ugcnetdec2014iii
digitalimageprocessing
butterworthlowpassfilter
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2
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5
UGCNETJune2013III57
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
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Jul 19, 2016
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jothee
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ugcnetjune2013iii
computergraphics
digitalimageprocessing
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UGCNETJune2013III56
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$^{MN}$
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Jul 19, 2016
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jothee
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ugcnetjune2013iii
computergraphics
digitalimageprocessing
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