GCSE Computer Science: Images
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All Computer Science topics are covered, and each module comes complete with:
Classroom Presentations
Revision Notes
Activities & Quizzes
Mind Maps, Flashcards & Glossaries
Frequently Asked Questions
What is pixelation in digital images?
Pixelation occurs when an image is enlarged beyond its original size and the individual pixels that make up the image become visible. This can result in a loss of detail and clarity in the image. Pixelation can be avoided by using high-resolution images or by using software that can resize images without losing quality.
What is the difference between a raster image and a vector image?
A raster image is a digital image that is made up of a grid of pixels, each with a specific color value. Raster images are typically used for photographs or complex images. A vector image, on the other hand, is made up of lines and shapes that are defined mathematically. Vector images are typically used for simpler images, such as logos or icons. Vector images can be resized without losing quality, while raster images may become pixelated if resized too much.
What is the importance of color depth in digital images?
Color depth refers to the number of bits used to represent the color of each pixel in an image. The higher the color depth, the more colors can be represented in the image. Higher color depth images can have more subtle variations in color and are often used for professional applications such as graphic design or printing. Low color depth images may appear grainy or have limited color range.
What is image compression and why is it used?
Image compression is the process of reducing the file size of a digital image while maintaining the image's visual quality. Image compression is used to reduce the amount of storage space required to store the image and to make it easier to transmit over the internet or other networks. There are two main types of image compression: lossy and lossless. Lossy compression reduces the file size by eliminating some of the image data, while lossless compression reduces the file size without any loss of data.
What is image segmentation and how is it used?
Image segmentation is the process of dividing an image into smaller segments or regions based on specific characteristics, such as color or texture. Image segmentation is often used in computer vision applications such as object recognition or image processing. By segmenting an image into smaller regions, machine learning algorithms can more easily identify specific objects or features in the image and use that information for further analysis.