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Questions and Answers
What does a histogram in digital image processing indicate?
What does a histogram in digital image processing indicate?
What does a concentrated histogram in digital image processing indicate?
What does a concentrated histogram in digital image processing indicate?
What does a high-contrast image histogram indicate?
What does a high-contrast image histogram indicate?
What does a broad range histogram in digital image processing indicate?
What does a broad range histogram in digital image processing indicate?
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What does a narrow histogram in digital image processing indicate?
What does a narrow histogram in digital image processing indicate?
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Study Notes
Histogram in Digital Image Processing
- A histogram visually represents the distribution of pixel intensity values in a digital image, indicating the frequency of each intensity level.
- Helps in evaluating the dynamic range, tonal values, and overall contrast of an image.
Concentrated Histogram
- Indicates that pixel intensity values are clustered around a specific range, often resulting in low contrast.
- Suggests that the image may appear dull or flat due to a lack of variation in brightness.
High-Contrast Image Histogram
- Displays a wide distribution of pixel intensities, indicating significant differences between light and dark areas.
- Often characterized by peaks spread across the histogram, resulting in an image that appears sharp and dynamic.
Broad Range Histogram
- Indicates a wide variation in pixel intensity values across the image.
- Suggests that the image captures a diverse range of tones, resulting in rich detail and texture.
Narrow Histogram
- Represents a limited range of pixel intensity values, often suggesting a lack of detail in the image.
- Can indicate overexposure or underexposure, leading to loss of tonal information and detail in brighter or darker areas.
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Description
Test your knowledge of intensity transformations, spatial filtering, and histogram processing in digital image processing. This quiz covers topics such as histogram equalization, histogram matching, and local histogram processing.