Digital Image Processing: Intensity Transformation and Spatial Filtering

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What is the negative transformation applied to the 8-bit image with pixel values represented by the matrix $r$?

The negative transformation is given by the equation $s = 255 - r$.

What is the resulting image pixel values after applying the negative transform to the 8-bit image with pixel values represented by the given matrix?

The resulting image pixel values after applying the negative transform are: $\begin{bmatrix} 155 & 145 & 165 \ 157 & 115 & 110 \ 166 & 165 & 167 \ 153 & 150 & 156 \ 160 & 120 & 170 \ 140 \end{bmatrix}$.

What is the negative transformation applied to the 5-bit image with pixel values represented by the matrix $r$?

The negative transformation is given by the equation $s = 31 - r$.

What is the resulting image pixel values after applying the negative transform to the 5-bit image with pixel values represented by the given matrix?

<p>The resulting image pixel values after applying the negative transform are: $\begin{bmatrix} 10 &amp; 5 \ 12 &amp; 10 \ 15 &amp; 15 \ 12 &amp; 13 \ 32 &amp; 2 \ 9 &amp; 5 \ 4 &amp; 1 \ 1 &amp; 0 \ 8 \end{bmatrix}$.</p> Signup and view all the answers

What is the thresholding transform applied to the 8-bit image with pixel values represented by the matrix $r$ assuming the threshold $m=95$?

<p>The thresholding transform is given by the equation: $s = \begin{cases} 0 &amp; r &lt; 95 \ 255 &amp; r \geq 95 \end{cases}$.</p> Signup and view all the answers

Study Notes

Image Transformations

  • Negative transformation is applied to an image to produce a result
  • Pixel values in the matrix $r$ represent an 8-bit image
  • The same transformation is applied to a 5-bit image
  • Thresholding transformation is applied to the 8-bit image
  • Threshold value for the 8-bit image is $m=95$

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