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</p> Signup and view all the answers

    Which color space is a subtractive color model?

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

    What is OpenCV?

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

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

    <p>Value</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</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</p> Signup and view all the answers

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

    <p>Black</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</p> Signup and view all the answers

    What does Cr stand for in the YCrCb color space?

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

    Which module contains different image processing algorithms in Python?

    <p>skimage</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</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</p> Signup and view all the answers

    What type of noise can the mean filter effectively remove?

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

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

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

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

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

    What increases the computational requirement of the median operator?

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

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