Color Spaces and OpenCV

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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?

0 to 179 (D) Signup and view all the answers

Which color space is a subtractive color model?

CMYK color space (C) Signup and view all the answers

What is OpenCV?

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

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

Value (D) Signup and view all the answers

What do the letters in the CIELAB color space represent?

Lightness, A color components, B color components (D) Signup and view all the answers

What is the purpose of the YCrCb color space?

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

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

Black (B) Signup and view all the answers

What is the purpose of the XYZ color space?

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

What does Cr stand for in the YCrCb color space?

(C)Red (B) Signup and view all the answers

Which module contains different image processing algorithms in Python?

skimage (A) Signup and view all the answers

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

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

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

Noise removal (D) Signup and view all the answers

What type of noise can the mean filter effectively remove?

Salt and pepper noise (D) Signup and view all the answers

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

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

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

Gaussian noise (D) Signup and view all the answers

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

Mean filtering (C) Signup and view all the answers

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

Smooths the image (C) Signup and view all the answers

What is a drawback of mean filtering?

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

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

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

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

It has higher computational cost (C) Signup and view all the answers

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

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

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

'Salt and pepper' noise (C) Signup and view all the answers

What increases the computational requirement of the median operator?

Ordering of values in the pixel neighborhood (A) Signup and view all the answers

What effect does larger kernel sizes have on mean filtering?

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

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

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

What is an advantage of median filtering over mean filtering?

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

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

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