Digital Imaging Concepts Overview
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Digital Imaging Concepts Overview

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Questions and Answers

What is the highest resolution commonly used for printing book pages?

  • 75 dpi
  • 133 dpi
  • 2400 dpi (correct)
  • 175 dpi
  • Which bit-depth corresponds to 16 intensity levels?

  • 8 bits
  • 2 bits
  • 4 bits (correct)
  • 1 bit
  • What causes false contouring in digital images?

  • High spatial resolution with low intensity levels.
  • Using a resolution lower than 75 dpi.
  • Using too many intensity levels.
  • Using insufficient gray levels in smooth areas. (correct)
  • Which of the following is a true statement about intensity resolution?

    <p>Intensity resolution is commonly given in bits used to store each level.</p> Signup and view all the answers

    What is the range of intensity levels for an image with 8 bits of intensity resolution?

    <p>0 to 255</p> Signup and view all the answers

    At which intensity level does false contouring generally become visible?

    <p>16 levels</p> Signup and view all the answers

    Why is 32-bit intensity quantization considered rare?

    <p>Most applications do not require that level of detail.</p> Signup and view all the answers

    Which print medium has the lowest resolution among the options listed?

    <p>Newspapers</p> Signup and view all the answers

    What process is referred to as quantization in digital imaging?

    <p>Digitalizing the amplitude values.</p> Signup and view all the answers

    What is the relationship between M, N, and the pixel in a digital image?

    <p>M rows and N columns form the matrix of pixel intersections.</p> Signup and view all the answers

    Which statement correctly describes the intensity resolution of a digital image?

    <p>It is the number of discrete intensity levels that an image can represent.</p> Signup and view all the answers

    What is the significance of L in image digitization?

    <p>It is the integer representing the number of intensity levels.</p> Signup and view all the answers

    How is the pixel value at coordinates (m,n) defined in digital imaging?

    <p>By the function f(m,n) which can be a function of various other factors.</p> Signup and view all the answers

    What condition must L satisfy for an image to be correctly represented digitally?

    <p>L must be an integer power of two.</p> Signup and view all the answers

    An image with 256 intensity levels is classified as what type of image?

    <p>8-bit image.</p> Signup and view all the answers

    What is a requirement for two regions to be considered adjacent?

    <p>Their union must form a connected set.</p> Signup and view all the answers

    In an image where V={1}, what defines if two regions R1 and R2 are adjacent when considering the 4-path rule?

    <p>They must have a direct connection through a pixel.</p> Signup and view all the answers

    Which distance metric is defined as the sum of the absolute differences of the pixel coordinates?

    <p>City-block distance</p> Signup and view all the answers

    What condition must be met for a subset S to be classified as a connected set?

    <p>There must be a path connecting any two points in S.</p> Signup and view all the answers

    When using 8-adjacency, what distinction is made about the boundaries of the 1-valued regions?

    <p>The outer boundary forms a closed path.</p> Signup and view all the answers

    What characterizes the function f(x,y) in an image formation model?

    <p>It represents the intensity of the image at coordinates (x,y).</p> Signup and view all the answers

    What do the variables i(x,y) and r(x,y) represent in the image formation model?

    <p>i(x,y) is illumination, and r(x,y) is reflectance.</p> Signup and view all the answers

    What is the range of values for the reflectance function r(x,y)?

    <p>It ranges from 0 to 1.</p> Signup and view all the answers

    What does the intensity of a monochrome image correspond to at any point (x,y)?

    <p>The gray level, represented as I = f(x,y).</p> Signup and view all the answers

    How is the interval for gray levels modified in common practice?

    <p>It is shifted to the interval [0, 1].</p> Signup and view all the answers

    What physical process generates the values in the function f(x,y)?

    <p>Energy radiated by physical sources like electromagnetic waves.</p> Signup and view all the answers

    What is the maximum possible intensity level that can be achieved in an image according to the image formation model?

    <p>1 or C, where C represents a bright tone.</p> Signup and view all the answers

    In the context of digital images, what is meant by the term 'intensity scale'?

    <p>The interval representing all possible gray levels.</p> Signup and view all the answers

    What points are considered the 8-neighbors of pixel P(x,y)?

    <p>(x-1, y+1), (x, y-1), (x+1, y-1), (x+1, y+1)</p> Signup and view all the answers

    How is 4-adjacency defined for two pixels?

    <p>Two pixels are 4-adjacent if they are in the set N₄ of each other.</p> Signup and view all the answers

    Which of the following describes m-adjacency?

    <p>Two pixels are m-adjacent if they are either 4-adjacent or do not overlap in N₄ values.</p> Signup and view all the answers

    Given the set V = {1}, which pixel configuration could represent 8-adjacency?

    <p>Three rows of pixels where one pixel in the middle is surrounded.</p> Signup and view all the answers

    What does a connected component consist of?

    <p>All pixels connected directly to a specific pixel.</p> Signup and view all the answers

    In an image with pixels having values in the range [0, 255], what can set V typically include?

    <p>Any subset of the full range from 0 to 255.</p> Signup and view all the answers

    Identify how ambiguity in 8-adjacency is resolved using m-adjacency.

    <p>By checking overlap between two diverse adjacent sets of pixels.</p> Signup and view all the answers

    What defines 8-path connectivity between two pixels in an adjacency context?

    <p>A sequence of 8-adjacent pixels leading from one to the other.</p> Signup and view all the answers

    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.

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