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Questions and Answers
What is a primary characteristic of JPEG compression?
What is a primary characteristic of JPEG compression?
Which of the following formats is known for lossless compression?
Which of the following formats is known for lossless compression?
What type of metadata includes details like file type and creation date?
What type of metadata includes details like file type and creation date?
What is the process of converting analogue signals to digital signals called?
What is the process of converting analogue signals to digital signals called?
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Which of the following correctly outlines the stages of digitization?
Which of the following correctly outlines the stages of digitization?
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How does structural metadata function?
How does structural metadata function?
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What characteristic distinguishes lossy compression from lossless compression?
What characteristic distinguishes lossy compression from lossless compression?
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What is quantization in the context of digitization?
What is quantization in the context of digitization?
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How does the number of bits affect the range of colors that can be represented in an image?
How does the number of bits affect the range of colors that can be represented in an image?
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Which system is used by computers to represent colors on digital display screens?
Which system is used by computers to represent colors on digital display screens?
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What is the maximum value for each component in the RGB color model?
What is the maximum value for each component in the RGB color model?
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How does the bitrate relate to image quality?
How does the bitrate relate to image quality?
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What is the meaning of image resolution?
What is the meaning of image resolution?
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What would likely happen to the image quality if the color depth is reduced?
What would likely happen to the image quality if the color depth is reduced?
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Which of the following image formats is NOT commonly known?
Which of the following image formats is NOT commonly known?
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What does each pixel of an image represent?
What does each pixel of an image represent?
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Which statement accurately describes pixelation in images?
Which statement accurately describes pixelation in images?
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What characteristic differentiates vector images from bitmap images?
What characteristic differentiates vector images from bitmap images?
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How does increasing image resolution affect the file size?
How does increasing image resolution affect the file size?
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What does the term 'color depth' refer to in relation to images?
What does the term 'color depth' refer to in relation to images?
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What is the maximum number of colors that can be represented with a bit depth of 4 bits?
What is the maximum number of colors that can be represented with a bit depth of 4 bits?
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What occurs to the appearance of a low-resolution image when it is enlarged?
What occurs to the appearance of a low-resolution image when it is enlarged?
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What defines the standard size range for vector images?
What defines the standard size range for vector images?
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Which of the following equations would you use to calculate the file size of an image?
Which of the following equations would you use to calculate the file size of an image?
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Study Notes
Vector and Bitmap Images
- Vector images are formed using objects and their properties, storing information to create images.
- Vector images are resolution independent and use algorithms instead of pixels.
- Bitmap images are created using cameras and are resolution dependent, meaning the quality is determined by the number of pixels.
- Zooming into bitmap images results in pixelation as individual pixels become visible.
- Vector images are mathematically defined and don't suffer from pixelation when enlarged.
Image Resolution
- Image resolution refers to the detail in an image and is measured in pixels per inch (ppi).
- Higher resolution images have more pixels and appear sharper when enlarged.
- Low-resolution images look blocky or pixelated when enlarged due to larger pixels.
- Higher resolution images result in larger file sizes.
Pixels and Bits
- Each pixel stores a certain number of bits, known as bit depth.
- Higher bit depth allows for more colours to be represented.
- More colours require more bits per pixel, leading to larger file sizes.
- A bit depth of 8 allows for 256 colours, while 2 bits represent 4 colours.
How Computers Detect Images
- Computers use binary sequences of 1's and 0's to represent images.
- Algorithms and machine learning techniques are used to identify colours and objects.
- Images are represented as a grid of pixels, each containing a colour defined by a specific binary pattern.
Colour Detection
- Human eyes detect different wavelengths of light: red (long), green (medium), and blue (short).
- Computers represent these colours using RGB (Red, Green, Blue).
- Each colour component in RGB has a value from 0 to 255.
- RGB lighting combines red, green, and blue light to create a wide range of colours.
Image Quality and Bits
- Image resolution affects image clarity on a screen.
- Bitrate refers to bits per second, representing the amount of data used to recreate an image.
- A higher bitrate provides more data and results in higher quality images.
- Larger colour depths (more bits per pixel) allow for more colours and generally improve image quality.
Image Formats
- Images can be saved in various formats, including JPEG, PNG, BMP, GIF, and TIFF.
- JPEG allows for lossy compression, where data is removed, resulting in a smaller file size but some quality loss.
- PNG is a lossless format, retaining all image data and resulting in larger file sizes.
- TIFF, GIF, and BMP are all examples of raster image formats.
Metadata
- Metadata is data about data, providing information about a file.
- Administrative metadata includes file type, creation date, and author.
- Image metadata includes information like image dimensions, resolution, colour depth, and capture time.
- Structural metadata categorises an object, establishing relationships with other files.
Analogue to Digital Conversion
- Analogue signals must be converted to digital signals for storage in digital devices.
- Digitization involves sampling and quantization.
- Sampling involves taking frequent measurements of the analogue signal at regular intervals.
- Quantization maps the sampled measurements to a set of digital values.
- An ADC (Analogue-to-Digital Converter) performs this conversion.
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