A 3x3 kernel is sliding across a color image (3 channel image). At the current position the kernel stopped at a patch of pixels with the following values for the three channels: 1 2 1 1 5 2 1 0 1 0 2 0 1 1 1 0 4 0 2 0 2 1 0 1 0 2 0   The kernel is defined as follows for the three channels (same for every channel): -1 0 -1 1 1 1 0 1 0 -1 0 -1 1 1 1 0 1 0 -1 0 -1 1 1 1 0 1 0 Compute the value that will go into the feature map for this convolution operation.

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
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A 3x3 kernel is sliding across a color image (3 channel image). At the current position the kernel stopped at a patch of pixels with the following values for the three channels:

  1. 1 2 1
    1 5 2
    1 0 1
  2. 0 2 0
    1 1 1
    0 4 0
  3. 2 0 2
    1 0 1
    0 2 0

 

The kernel is defined as follows for the three channels (same for every channel):

  1. -1 0 -1
    1 1 1
    0 1 0
  2. -1 0 -1
    1 1 1
    0 1 0
  3. -1 0 -1
    1 1 1
    0 1 0

Compute the value that will go into the feature map for this convolution operation. 

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