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Computer Vision Lecture 1: Images and Filtering

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Computer Vision Lecture 1: Images and Filtering

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Questions and Answers

What is a digital image represented as?

A 3D array of pixel values
A vector of intensity values
A matrix of intensity values (correct)
A grid of color values

What is the range of intensity values in a typical grayscale image?

0 to 100
0 to 255 (correct)
0 to 512
0 to 1024

What is the purpose of image filtering in digital camera imaging?

To reduce image noise (correct)
To compress image size
To convert image to grayscale
To enhance image resolution

What is the process of converting an image into a 2D grid of intensity values called?

Image representation (C) Signup and view all the answers

What is the role of the eye in the process of image formation?

To capture the image (D) Signup and view all the answers

What is the common practice in digital image representation?

Using one byte per value (A) Signup and view all the answers

What is the primary purpose of thresholding in image processing?

To reduce image complexity and facilitate feature extraction (C) Signup and view all the answers

What type of thresholding involves a fixed threshold value for the entire image?

Global thresholding (C) Signup and view all the answers

What is the outcome of a pixel value being greater than the threshold value in thresholding?

The pixel value is set to one (A) Signup and view all the answers

Can thresholding be implemented using a linear filter?

No, thresholding requires a non-linear filter (D) Signup and view all the answers

What is the term for the blur in out-of-focus regions of an image?

Bokeh (D) Signup and view all the answers

What is a grayscale image represented as in terms of a function?

A function from R2 to R (B) Signup and view all the answers

What is the primary goal of applying filters to an image?

To get useful information from the image (B) Signup and view all the answers

What is the result of applying a convolution operator to an image?

A new image with pixel values that are a combination of the original pixel values (C) Signup and view all the answers

Why is taking multiple images of a still scene and averaging them a good way to reduce noise?

Because it averages out random fluctuations (C) Signup and view all the answers

What is image restoration?

The process of removing noise and blur from an image (B) Signup and view all the answers

What is the purpose of image filtering?

To modify the pixels in an image based on a local neighborhood (C) Signup and view all the answers