Power-law and Inverse Log Transformations in Image Processing

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What is the purpose of a log transformation in image processing?

To expand values of dark pixels while compressing higher level values.

Explain the effect of using fractional values of gamma in power-law transformations.

Fractional values of gamma map a narrow range of dark input values into a wider range of output values.

What happens when gamma value in power-law transformations is greater than 1?

Curves generated with gamma > 1 have the opposite effect of curves with gamma < 1.

When c = 1 and gamma = 1 in power-law transformations, what transformation is applied?

<p>Identity transformation is applied.</p> Signup and view all the answers

How does gamma correction help in image processing for cathode ray tube (CRT) devices?

<p>Gamma correction helps adjust the intensity-to-voltage response of CRT devices.</p> Signup and view all the answers

What is the significance of using a thresholding function in image processing?

<p>Thresholding function helps separate objects from the background based on intensity levels.</p> Signup and view all the answers

What is the purpose of using the negative transformation on an image?

<p>Enhancing white or grey detail embedded in dark regions of an image</p> Signup and view all the answers

Describe the form of the intensity transformation function for contrast stretching.

<p>s = T(r) where s and r are variables denoting intensity at any point, T(r) brightens intensity levels above k and darkens levels below k</p> Signup and view all the answers

What type of image does a thresholding function produce?

<p>Binary image</p> Signup and view all the answers

Explain the purpose of a log transformation in image processing.

<p>Maps a narrow range of low intensity values into a wider range of output levels</p> Signup and view all the answers

What does the log transformation expression s = c log(1+r) do to the input intensity values?

<p>Maps low input intensity values into a wider range of output levels</p> Signup and view all the answers

How does the power-law (gamma) transformation function differ from other intensity transformations?

<p>Uses a power-law expression to adjust image contrast</p> Signup and view all the answers

What is the general form of a Log Transformation function?

<p>s = c * log(1 + r)</p> Signup and view all the answers

What is the goal of Intensity level slicing in Piecewise-Linear Transformation Functions?

<p>To highlight a specific range of intensities</p> Signup and view all the answers

What is the purpose of Contrast Stretching function?

<p>To expand the range of intensity levels to span the full intensity range of the output device</p> Signup and view all the answers

What is the formula for a Power-Law (Gamma) Transformation?

<p>s = c * r^gamma</p> Signup and view all the answers

What is the formula to obtain the negative of an image with intensity levels in [0, L-1]?

<p>s = (L-1) - r</p> Signup and view all the answers

What problem does a Power-Law (Gamma) Transformation with gamma > 1 aim to solve?

<p>To compress intensity levels, especially when the image has a 'washed-out' appearance</p> Signup and view all the answers

Study Notes

Log Transformation

  • Purpose: to compress the dynamic range of an image, reducing the effect of extreme brightness values
  • Expression: s = c log(1+r), which compresses high intensity values and expands low intensity values

Power-Law (Gamma) Transformation

  • Formula: s = c*r^γ, where γ is the gamma value
  • Effect of fractional values of γ: produces non-linear transformations, useful for correcting non-linear responses of devices
  • When γ > 1: expands the darker regions of the image, compressing the brighter regions
  • When c = 1 and γ = 1: applies an identity transformation, leaving the image unchanged
  • Purpose: to compensate for non-linear responses of devices, such as CRT devices, to improve image quality

Thresholding

  • Purpose: to segment an image by separating objects from the background
  • Produces a binary image, where pixels are classified as either object or background
  • Significance: useful in object recognition, feature extraction, and image analysis

Negative Transformation

  • Purpose: to invert the intensity values of an image, making dark regions bright and vice versa
  • Formula: s = L - 1 - r, where L is the maximum intensity value
  • Effect: useful for enhancing details in dark regions of an image

Contrast Stretching

  • Purpose: to enhance the contrast of an image, making it more visually appealing
  • Intensity transformation function: linear scaling of intensity values to a desired range
  • Effect: improves the visibility of details in an image

Piecewise-Linear Transformation Functions

  • Goal of Intensity level slicing: to separate objects from the background by selecting specific intensity ranges
  • Purpose: to apply different transformations to different intensity ranges in an image

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