Recent questions tagged digital-image-processing

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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 symmetricd)Antisymmetric and not separable
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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 ... of interest and the resources are good there. What are the best options for me?
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The three aspects of Quantization, programmers generally concerned with areCoding error, Sampling rate and AmplificationSampling rate, Coding error and ... Aperture time and Coding errorAperture time, Coding error and Strobing
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If the histogram of an image is clustered towards origin on X-axis of a histogram plot then it indicates that the image is ______.DarkGood contrastBrightVery low contrast
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Which of the following is not used in standard JPEG image compression ?Huffman codingRunlength encodingZig-zag scanK-L Transform
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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 ... )-H(x $\mid$ y)]; p(x)max H(x $\mid$y); p(x)
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Blind image disconvolution isCombination of blur identification and image restorationCombination of segmentation and classificationCombination of blur and non-blur imageNone of the above
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Consider the conditional entropy and mutual information for the binary symmetric channel. The input source has alphabet $X=\{0,1\}$ and associated probabilities ${\dfrac{1}{2}, \dfrac{1}{2}}$ ... $0$
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A Butterworth lowpass filter of order $n$, with a cutoff frequency at distance $D_{0}$ from the origin, has the transfer function $H(u, v)$ ... {2n}}$\frac{1}{1+\left[\frac{D_{0}}{D(u, v)}\right]^{n}}$
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Given a simple image of size $10 \times 10$ whose histogram models the symbol probabilities and is given by$P_{1}$P_{2}$P_{3}$ ...
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Given two spatial masks$S_{1}= \begin{bmatrix}0&1&0 \\1&-4&0 \\0&1&0\end{bmatrix}$ $S_{2} = \begin{bmatrix}1&1&1 \\1&-8&1 \\1&1&1\end{bmatrix}$The Laplacian of an image at ... ?only $S_{1}$only $S_{2}$Both $S_{1}$ and $S_{2}$ None of these
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The redundancy in images stems frompixel decollerationpixel collerationpixel quantizationimage size
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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 ... is called as relative ____ of the first data set.Data CompressionData RedundancyData RelationData Representation
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MPEG involves both spatial compression and temporal compression. The spatial compression is similar to JPEG and temporal compression removes _____ frames.TemporalVoiceSpatialRedundant
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If f(x, y) is a digital image, then x, y and amplitude values of f areFiniteInfiniteNeither finite nor infiniteNone of the above
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The number of distinct binary images which can be generated from a given binary image of right M $\times$ N areM+NM $\times$ N2$^{M+N}$2$^{MN}$
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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, ... machines) isn $\times$ 8 MBn/8 MB(1024 $\times$ 1024)/8 MB1024 MB
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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 seconds19.66 seconds1.966 seconds0.1966 seconds
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The transform which possess the highest ‘energy compaction’ property isSlant transformCosine transformFourier transformKarhunen-Loeve transform
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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
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Which of the following compression algorithms is used to generate a $\textsf{.png}$ file?$\text{LZ78}$Deflate$\text{LZW}$Huffman
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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 $0\text{’s}$
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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
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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})$
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