Color Spaces and OpenCV
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Questions and Answers

What is a color space?

  • An open source algorithm for image processing
  • A library for manipulating images
  • A mathematical model describing how colors can be represented (correct)
  • A range of possible luminance values

Which color space is represented by a combination of Red, Green, and Blue?

  • YUV color space
  • RGB color space (correct)
  • CMYK color space
  • HSV color space

In the HSV color space, what does 'H' stand for?

  • Hue (correct)
  • Hasty
  • High
  • Heat

What is the range of 'Hue' values in the HSV color space?

<p>0 to 179 (D)</p> Signup and view all the answers

Which color space is a subtractive color model?

<p>CMYK color space (C)</p> Signup and view all the answers

What is OpenCV?

<p>A popular computer vision library written in C/C++ with bindings for Python (D)</p> Signup and view all the answers

In the HSV color model, what does the V stand for?

<p>Value (D)</p> Signup and view all the answers

What do the letters in the CIELAB color space represent?

<p>Lightness, A color components, B color components (D)</p> Signup and view all the answers

What is the purpose of the YCrCb color space?

<p>To separate luminance from chrominance into different channels (D)</p> Signup and view all the answers

What does the letter 'K' represent in the CMYK color model?

<p>Black (B)</p> Signup and view all the answers

What is the purpose of the XYZ color space?

<p>To map imaginary and real colors based on color matching experiments (D)</p> Signup and view all the answers

What does Cr stand for in the YCrCb color space?

<p>(C)Red (B)</p> Signup and view all the answers

Which module contains different image processing algorithms in Python?

<p>skimage (A)</p> Signup and view all the answers

What does the A component in the LAB color space represent?

<p>(A) color components ranging from Green to Magenta (B)</p> Signup and view all the answers

What is the primary use of both linear and non-linear filtering in image enhancement?

<p>Noise removal (D)</p> Signup and view all the answers

What type of noise can the mean filter effectively remove?

<p>Salt and pepper noise (D)</p> Signup and view all the answers

What does the mean filter do to every pixel in the output image?

<p>Replaces it with the mean value from its neighborhood (A)</p> Signup and view all the answers

What type of noise is added using the 'imnoise' function with a variance of 0.02?

<p>Gaussian noise (D)</p> Signup and view all the answers

Which type of filtering gives equal weight to all pixels in the neighborhood?

<p>Mean filtering (C)</p> Signup and view all the answers

What is the effect of using a mean filter in image enhancement?

<p>Smooths the image (C)</p> Signup and view all the answers

What is a drawback of mean filtering?

<p>It is not robust to large noise deviations in the image (A)</p> Signup and view all the answers

How does increasing the neighborhood size affect the mean filtering process?

<p>It causes more blurring of edges in the image (B)</p> Signup and view all the answers

What is a limitation of the median filter compared to the mean filter?

<p>It has higher computational cost (C)</p> Signup and view all the answers

Why is the median filter considered superior to the mean filter?

<p>It better preserves sharp high-frequency detail (A)</p> Signup and view all the answers

Which type of noise is best dealt with using a measure that is robust to statistical outliers?

<p>'Salt and pepper' noise (C)</p> Signup and view all the answers

What increases the computational requirement of the median operator?

<p>Ordering of values in the pixel neighborhood (A)</p> Signup and view all the answers

What effect does larger kernel sizes have on mean filtering?

<p>Further suppresses Gaussian noise but degrades image quality (B)</p> Signup and view all the answers

In general, what are the main drawbacks of mean filtering?

<p>Not robust to large noise deviations and causes blurring of edges (C)</p> Signup and view all the answers

What is an advantage of median filtering over mean filtering?

<p>Better preservation of sharp high-frequency detail and less blurring of edges (A)</p> Signup and view all the answers

What makes median filtering superior to mean filtering for noise removal?

<p>Better preservation of sharp high-frequency detail and more effective for Gaussian noise removal (A)</p> Signup and view all the answers

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