FeatureMap(m,n) =m nE E Image(m + i – 1,n+j- 1) Kernel(i,j)i- 1j-1Calculate the entry in the FeatureMap(1,3) in thefigure?9221O 71 The method to compress an image in imageprocessing is using convolution matrix where thenumber of outputs is reduced by replacing the matrixmultiplication with much smaller kernel matrix. Thisis illustrated on the figure below. In this example ablack and white photograph is scanned as arectangular array of pixels and then stored as imagematrix on the left by assigning each pixel a numericalvalue in accordance with its gray level, (0 = white to255 = black), then the entries in the matrix areintegers between O and 255.Then multiplication isemployed with much smaller kernel matrix in themiddle.0|0 21 00 o10685711250 231 127 631250 252 250 209 561250 252 250 250 83Kernel0 0 0Feature mapImageBoxes in red and blue frames indicate how the upperleft element is formed by applying the kernel to thecorresponding upper left region of the input matrix.The elements of much smaller "feature map" matrixon the right can be calculated from:3.

The correct option is Option B) 21 Explanation ------------------------------------------------…

Answered: Calculate the entry in the…

Engineering

Computer Engineering

Calculate the entry in the FeatureMap(1,3) in the figure?

Computer Networking: A Top-Down Approach (7th Edition)

7th Edition

ISBN:9780133594140

Author:James Kurose, Keith Ross

Publisher:James Kurose, Keith Ross

Chapter1: Computer Networks And The Internet

Section: Chapter Questions

Problem R1RQ: What is the difference between a host and an end system? List several different types of end...

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