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Antialiasing is a technique used in digital imaging to reduce visual distortions known as aliasing, which occur when high-frequency detail is represented at a lower resolution. By smoothing jagged edges and blending colors at boundaries, antialiasing enhances image quality and provides a more realistic visual experience.
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Sampling is the process of selecting a subset of individuals or items from a larger population to estimate characteristics of the whole population. It is crucial in research and statistics to make inferences about a population without having to study the entire group, thereby saving time and resources.
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Image quality refers to the perceived clarity, detail, and visual fidelity of an image, often influenced by factors such as resolution, color accuracy, and noise. It is crucial in various fields such as photography, medical imaging, and digital media, where high image quality can significantly impact the effectiveness and interpretation of visual information.
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The graphics pipeline is a sequence of steps that convert 3D models into a 2D image on the screen, efficiently handling the transformation, lighting, and rendering processes. It is essential for real-time graphics applications like video games, where speed and visual fidelity are critical.
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Supersampling is a technique used in computer graphics to improve image quality by rendering at a higher resolution and then downsampling to the desired resolution, effectively reducing aliasing artifacts. This process enhances visual fidelity by smoothing edges and increasing the detail of textures in digital images.
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