Spatial resolution in digital imaging is determined by

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Multiple Choice

Spatial resolution in digital imaging is determined by

Explanation:
Spatial resolution is about how finely the image samples the scene and how clearly those samples reveal small details. The size of each sample—the pixel size—matters because smaller pixels mean more samples in a given area, so finer features can be captured and distinguished. The total number of samples across the image—the matrix size—also matters: with a larger matrix, you have more sampling points across the same field of view, which enhances the ability to resolve closely spaced structures. Bit depth, while not changing how many samples you take, affects how distinctly those samples can represent subtle tonal differences. A higher bit depth reduces quantization and posterization, so edges and fine textures remain clearer, which can improve the perceived sharpness and ability to discern details. Put together, these aspects influence how sharp and detailed the final image appears, so all three contribute to spatial resolution.

Spatial resolution is about how finely the image samples the scene and how clearly those samples reveal small details. The size of each sample—the pixel size—matters because smaller pixels mean more samples in a given area, so finer features can be captured and distinguished. The total number of samples across the image—the matrix size—also matters: with a larger matrix, you have more sampling points across the same field of view, which enhances the ability to resolve closely spaced structures. Bit depth, while not changing how many samples you take, affects how distinctly those samples can represent subtle tonal differences. A higher bit depth reduces quantization and posterization, so edges and fine textures remain clearer, which can improve the perceived sharpness and ability to discern details. Put together, these aspects influence how sharp and detailed the final image appears, so all three contribute to spatial resolution.

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