Basics of Image Factors Quiz

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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?

Fermat's principle

Huygens' principle

Snell's law

Lambert's cosine law (correct)

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?

50% Signup and view all the answers

What does the albedo (ρ) of a surface represent?

Amount of light absorbed by the surface Signup and view all the answers

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 Signup and view all the answers

What does the digitalization of an image involve?

Converting it into a series of numbers and storing them in a computer storage system. Signup and view all the answers

How are pixels represented in an image?

As dots arranged in rows and columns, each with a specific color. Signup and view all the answers

What numerical values are used to determine the colors of pixels in an image?

Assigned numerical values based on the RGB model. Signup and view all the answers

What does the tuple (0,0,0) represent in the RGB model for pixel colors?

Black color. Signup and view all the answers

In the RGB model, what does each pixel have as components?

(value for red component, value for green component, value for blue component) Signup and view all the answers

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. Signup and view all the answers

What is the purpose of blurring in image processing?

To average pixel values within a neighborhood and make sharp edges smoother. Signup and view all the answers

Why are large kernels preferred for blurring in image processing?

To achieve a greater smoothening effect by producing larger averaging values. Signup and view all the answers

Which technique is commonly used for noise reduction in image preprocessing?

Median blur Signup and view all the answers

What is the effect of blurring often referred to as?

'Low pass filter' effect Signup and view all the answers

What do steps involved in blurring an image include?

Multiplying each value of the kernel with the corresponding value of the image matrix. Signup and view all the answers

What is the purpose of the kernel H(u,v) in image processing?

To detect edges in an image Signup and view all the answers

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 Signup and view all the answers

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 Signup and view all the answers

How does convolution differ from correlation when applying operators in computer vision?

Correlation flips the filter in both directions, while convolution doesn't Signup and view all the answers

What is the primary reason for using kernels in image processing?

To apply different filters for feature extraction Signup and view all the answers

How does convolution help in detecting edges in images?

By summing multiplied pixel values under a kernel to highlight intensity changes Signup and view all the answers

What is the purpose of histogram equalization on images?

To stretch the histogram of the image for higher contrast Signup and view all the answers

How does histogram equalization impact the image histogram?

It makes the histogram flatter Signup and view all the answers

For a grey-scale image, what does each pixel represent?

Brightness or intensity value Signup and view all the answers

What does each channel of an RGB-formatted color image represent?

Intensity value of a specific color Signup and view all the answers

How are cumulative distribution values calculated in histogram equalization?

By summing up intensity values for each pixel Signup and view all the answers

What happens to the bars of a histogram after applying histogram equalization?

Bars extend to both ends of the spectrum Signup and view all the answers