29 Questions
What does the Bidirectional Reflectance Distribution Function (BRDF) model describe?
How bright a surface appears when viewed from one direction when light falls on it from another
Which law states that the amount of light reflected from a surface is proportional to cos(θ), where θ is the angle of illumination?
Lambert's cosine law
What do demosaicing algorithms do in the context of image processing?
Estimate missing color values for pixels based on surrounding pixel colors
In Bayer arrangement of color filters on a camera sensor, what percentage of the filter pattern is green?
50%
What does the albedo (ρ) of a surface represent?
Amount of light absorbed by the surface
Which component of light arriving at a sensor involves the color of the light source and the color of the surface being captured?
Sensor Filter pattern
What does the digitalization of an image involve?
Converting it into a series of numbers and storing them in a computer storage system.
How are pixels represented in an image?
As dots arranged in rows and columns, each with a specific color.
What numerical values are used to determine the colors of pixels in an image?
Assigned numerical values based on the RGB model.
What does the tuple (0,0,0) represent in the RGB model for pixel colors?
Black color.
In the RGB model, what does each pixel have as components?
(value for red component, value for green component, value for blue component)
What is the main concept behind Linearity or Superposition principle in image processing?
The output images after applying individual filters will be the same regardless of the order they are applied.
What is the purpose of blurring in image processing?
To average pixel values within a neighborhood and make sharp edges smoother.
Why are large kernels preferred for blurring in image processing?
To achieve a greater smoothening effect by producing larger averaging values.
Which technique is commonly used for noise reduction in image preprocessing?
Median blur
What is the effect of blurring often referred to as?
'Low pass filter' effect
What do steps involved in blurring an image include?
Multiplying each value of the kernel with the corresponding value of the image matrix.
What is the purpose of the kernel H(u,v) in image processing?
To detect edges in an image
In the context of convolution, what is the process of applying a linear filter to an image?
Centering a kernel on a pixel and summing the results
Why is it important that correlation and convolution are Linear Shift-Invariant operators in computer vision?
To ensure that shifting a signal commutes with applying the operator
How does convolution differ from correlation when applying operators in computer vision?
Correlation flips the filter in both directions, while convolution doesn't
What is the primary reason for using kernels in image processing?
To apply different filters for feature extraction
How does convolution help in detecting edges in images?
By summing multiplied pixel values under a kernel to highlight intensity changes
What is the purpose of histogram equalization on images?
To stretch the histogram of the image for higher contrast
How does histogram equalization impact the image histogram?
It makes the histogram flatter
For a grey-scale image, what does each pixel represent?
Brightness or intensity value
What does each channel of an RGB-formatted color image represent?
Intensity value of a specific color
How are cumulative distribution values calculated in histogram equalization?
By summing up intensity values for each pixel
What happens to the bars of a histogram after applying histogram equalization?
Bars extend to both ends of the spectrum
Test your knowledge on factors affecting images such as light source, surface geometry, sensor properties, image representation, color, transformations, camera calibration, distortion, lighting, optics, human perception, and more.
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