Spatial resolution in digital imaging is dependent on pixel size.

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Multiple Choice

Spatial resolution in digital imaging is dependent on pixel size.

Explanation:
Spatial resolution is about how finely a detail can be distinguished, which in digital imaging comes down to how densely the scene is sampled by the sensor. Each pixel acts as a sample point, so the distance between neighboring samples—the pixel size—directly sets how fine the sampling grid is. Smaller pixels mean you take more samples per unit area, allowing you to capture finer features and thus higher spatial resolution. Of course, the actual usable resolution is limited by other factors such as lens optics (diffraction and resolving power), how the image is reconstructed from the sensor data, and noise. If you use larger pixels, you get fewer samples across the same scene, which blurs fine details and lowers spatial resolution. Display resolution and exposure influence perceived sharpness or detail in other ways, but they don’t determine the sensor’s inherent ability to resolve small features.

Spatial resolution is about how finely a detail can be distinguished, which in digital imaging comes down to how densely the scene is sampled by the sensor. Each pixel acts as a sample point, so the distance between neighboring samples—the pixel size—directly sets how fine the sampling grid is. Smaller pixels mean you take more samples per unit area, allowing you to capture finer features and thus higher spatial resolution. Of course, the actual usable resolution is limited by other factors such as lens optics (diffraction and resolving power), how the image is reconstructed from the sensor data, and noise. If you use larger pixels, you get fewer samples across the same scene, which blurs fine details and lowers spatial resolution. Display resolution and exposure influence perceived sharpness or detail in other ways, but they don’t determine the sensor’s inherent ability to resolve small features.

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