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# Digital Image Processing: Intensity Transformation and Spatial Filtering

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@LawAbidingThunderstorm

### 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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## Description

Test your knowledge about intensity transformation and spatial filtering in digital image processing with Dr. Pabitra Pal's lecture material. This quiz covers topics such as negative transformation and finding resulting pixel values.

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