Podcast
Questions and Answers
What does the Bidirectional Reflectance Distribution Function (BRDF) model describe?
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 (correct)
- The color of the light source hitting a surface
- The transparency properties of a surface
- How light is absorbed by a surface
Which law states that the amount of light reflected from a surface is proportional to cos(θ), where θ is the angle of illumination?
Which law states that the amount of light reflected from a surface is proportional to cos(θ), where θ is the angle of illumination?
- Fermat's principle
- Huygens' principle
- Snell's law
- Lambert's cosine law (correct)
What do demosaicing algorithms do in the context of image processing?
What do demosaicing algorithms do in the context of image processing?
- Enhance the sharpness of images
- Estimate missing color values for pixels based on surrounding pixel colors (correct)
- Apply distortion corrections to images
- Adjust the contrast of images
In Bayer arrangement of color filters on a camera sensor, what percentage of the filter pattern is green?
In Bayer arrangement of color filters on a camera sensor, what percentage of the filter pattern is green?
What does the albedo (ρ) of a surface represent?
What does the albedo (ρ) of a surface represent?
Which component of light arriving at a sensor involves the color of the light source and the color of the surface being captured?
Which component of light arriving at a sensor involves the color of the light source and the color of the surface being captured?
What does the digitalization of an image involve?
What does the digitalization of an image involve?
How are pixels represented in an image?
How are pixels represented in an image?
What numerical values are used to determine the colors of pixels in an image?
What numerical values are used to determine the colors of pixels in an image?
What does the tuple (0,0,0) represent in the RGB model for pixel colors?
What does the tuple (0,0,0) represent in the RGB model for pixel colors?
In the RGB model, what does each pixel have as components?
In the RGB model, what does each pixel have as components?
What is the main concept behind Linearity or Superposition principle in image processing?
What is the main concept behind Linearity or Superposition principle in image processing?
What is the purpose of blurring in image processing?
What is the purpose of blurring in image processing?
Why are large kernels preferred for blurring in image processing?
Why are large kernels preferred for blurring in image processing?
Which technique is commonly used for noise reduction in image preprocessing?
Which technique is commonly used for noise reduction in image preprocessing?
What is the effect of blurring often referred to as?
What is the effect of blurring often referred to as?
What do steps involved in blurring an image include?
What do steps involved in blurring an image include?
What is the purpose of the kernel H(u,v) in image processing?
What is the purpose of the kernel H(u,v) in image processing?
In the context of convolution, what is the process of applying a linear filter to an image?
In the context of convolution, what is the process of applying a linear filter to an image?
Why is it important that correlation and convolution are Linear Shift-Invariant operators in computer vision?
Why is it important that correlation and convolution are Linear Shift-Invariant operators in computer vision?
How does convolution differ from correlation when applying operators in computer vision?
How does convolution differ from correlation when applying operators in computer vision?
What is the primary reason for using kernels in image processing?
What is the primary reason for using kernels in image processing?
How does convolution help in detecting edges in images?
How does convolution help in detecting edges in images?
What is the purpose of histogram equalization on images?
What is the purpose of histogram equalization on images?
How does histogram equalization impact the image histogram?
How does histogram equalization impact the image histogram?
For a grey-scale image, what does each pixel represent?
For a grey-scale image, what does each pixel represent?
What does each channel of an RGB-formatted color image represent?
What does each channel of an RGB-formatted color image represent?
How are cumulative distribution values calculated in histogram equalization?
How are cumulative distribution values calculated in histogram equalization?
What happens to the bars of a histogram after applying histogram equalization?
What happens to the bars of a histogram after applying histogram equalization?
