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Questions and Answers
What is the highest resolution commonly used for printing book pages?
What is the highest resolution commonly used for printing book pages?
Which bit-depth corresponds to 16 intensity levels?
Which bit-depth corresponds to 16 intensity levels?
What causes false contouring in digital images?
What causes false contouring in digital images?
Which of the following is a true statement about intensity resolution?
Which of the following is a true statement about intensity resolution?
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What is the range of intensity levels for an image with 8 bits of intensity resolution?
What is the range of intensity levels for an image with 8 bits of intensity resolution?
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At which intensity level does false contouring generally become visible?
At which intensity level does false contouring generally become visible?
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Why is 32-bit intensity quantization considered rare?
Why is 32-bit intensity quantization considered rare?
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Which print medium has the lowest resolution among the options listed?
Which print medium has the lowest resolution among the options listed?
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What process is referred to as quantization in digital imaging?
What process is referred to as quantization in digital imaging?
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What is the relationship between M, N, and the pixel in a digital image?
What is the relationship between M, N, and the pixel in a digital image?
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Which statement correctly describes the intensity resolution of a digital image?
Which statement correctly describes the intensity resolution of a digital image?
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What is the significance of L in image digitization?
What is the significance of L in image digitization?
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How is the pixel value at coordinates (m,n) defined in digital imaging?
How is the pixel value at coordinates (m,n) defined in digital imaging?
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What condition must L satisfy for an image to be correctly represented digitally?
What condition must L satisfy for an image to be correctly represented digitally?
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An image with 256 intensity levels is classified as what type of image?
An image with 256 intensity levels is classified as what type of image?
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What is a requirement for two regions to be considered adjacent?
What is a requirement for two regions to be considered adjacent?
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In an image where V={1}, what defines if two regions R1 and R2 are adjacent when considering the 4-path rule?
In an image where V={1}, what defines if two regions R1 and R2 are adjacent when considering the 4-path rule?
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Which distance metric is defined as the sum of the absolute differences of the pixel coordinates?
Which distance metric is defined as the sum of the absolute differences of the pixel coordinates?
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What condition must be met for a subset S to be classified as a connected set?
What condition must be met for a subset S to be classified as a connected set?
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When using 8-adjacency, what distinction is made about the boundaries of the 1-valued regions?
When using 8-adjacency, what distinction is made about the boundaries of the 1-valued regions?
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What characterizes the function f(x,y) in an image formation model?
What characterizes the function f(x,y) in an image formation model?
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What do the variables i(x,y) and r(x,y) represent in the image formation model?
What do the variables i(x,y) and r(x,y) represent in the image formation model?
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What is the range of values for the reflectance function r(x,y)?
What is the range of values for the reflectance function r(x,y)?
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What does the intensity of a monochrome image correspond to at any point (x,y)?
What does the intensity of a monochrome image correspond to at any point (x,y)?
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How is the interval for gray levels modified in common practice?
How is the interval for gray levels modified in common practice?
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What physical process generates the values in the function f(x,y)?
What physical process generates the values in the function f(x,y)?
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What is the maximum possible intensity level that can be achieved in an image according to the image formation model?
What is the maximum possible intensity level that can be achieved in an image according to the image formation model?
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In the context of digital images, what is meant by the term 'intensity scale'?
In the context of digital images, what is meant by the term 'intensity scale'?
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What points are considered the 8-neighbors of pixel P(x,y)?
What points are considered the 8-neighbors of pixel P(x,y)?
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How is 4-adjacency defined for two pixels?
How is 4-adjacency defined for two pixels?
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Which of the following describes m-adjacency?
Which of the following describes m-adjacency?
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Given the set V = {1}, which pixel configuration could represent 8-adjacency?
Given the set V = {1}, which pixel configuration could represent 8-adjacency?
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What does a connected component consist of?
What does a connected component consist of?
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In an image with pixels having values in the range [0, 255], what can set V typically include?
In an image with pixels having values in the range [0, 255], what can set V typically include?
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Identify how ambiguity in 8-adjacency is resolved using m-adjacency.
Identify how ambiguity in 8-adjacency is resolved using m-adjacency.
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What defines 8-path connectivity between two pixels in an adjacency context?
What defines 8-path connectivity between two pixels in an adjacency context?
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Study Notes
Image Formation Model
- An image is represented by a 2D function f(x,y) where the value at coordinates (x,y) represents the energy emitted from a physical source.
- The function f(x,y) is composed of two components:
- Illumination (i(x,y)) - the amount of light incident on the scene.
- Reflectance (r(x,y)) - the amount of light reflected back by objects in the scene.
- The gray level (I) at a point in a monochrome image is the intensity at that point.
- The intensity scale ranges from Lmin to Lmax which are usually shifted to the interval [0,1] or [0,C].
- Lmin= i(min) * r(min)
- Lmax= i(max) * r(max)
Sampling and Quantization
- Digitizing an image involves converting the image into discrete quantities.
- This involves sampling and quantization.
- Sampling is dividing the continuous image into a grid of M rows and N columns.
- Each point on the grid is called a pixel.
Digital Image Definition
- A digital image is a 2D discrete space representation of an analog image.
- The image is represented by a matrix with values f(m,n) for each pixel.
- The number (L) of discrete intensity levels must be an integer power of two (2^k, where k is an integer).
- Images are often described in terms of their bit depth, which is the number of bits used to store each intensity level.
Understanding Spatial and Intensity Resolution
- Spatial resolution refers to the number of pixels in an image.
- Intensity resolution refers to the number of discernible gray levels in an image.
- Increasing spatial resolution allows for more detail to be captured in an image.
- Increasing intensity resolution allows for finer detail to be captured in the range of gray levels.
False Contouring
- False contouring is an artifact that can occur when reducing the number of intensity levels while keeping spatial resolution constant.
- It appears as distinct lines or bands in smooth areas of an image.
Neighbourhoods of a Pixel
- The 4-neighbors of a pixel p are the pixels directly above, below, to the left, and to the right of p.
- The 8-neighbors of a pixel p are the 4-neighbors of p, as well as the pixels diagonally adjacent to p.
- The m-neighbors of a pixel p are the 4-neighbors of p, along with the diagonal neighbors that share no 4-neighbors with value V.
Adjacency and Connected Components
- Adjacency is used to define relationships between pixels in an image.
- Two pixels are 4-adjacent if they share a common edge, 8-adjacent if they share a common edge or a common corner, and m-adjacent if they are 4-adjacent or 8-adjacent and the shared corners do not contain pixels with value V.
- A connected component is a set of pixels that are connected to each other.
- A region is a connected set of pixels.
- Two regions are adjacent if their union forms a connected set.
- Regions that are not adjacent are disjoint.
Distance Metrics
- Distance metrics are used to calculate the distance between two points.
- Common distance metrics include:
- Euclidean distance
- City-block distance
- Chessboard distance
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Description
Explore the fundamental concepts of digital imaging, including image formation models, sampling, and quantization. Understand how illumination and reflectance play a role in creating monochrome images. This quiz will test your knowledge on the essential aspects of how digital images are represented and processed.