What factors are used to evaluate digital images?

Evaluating digital images involves considering both visual and numerical cues, making the choice of a mix of visual and numerical cues the most accurate response.

Visual cues include characteristics like contrast, brightness, sharpness, and detail that can be immediately assessed by the human eye. These qualities help determine the overall quality and diagnostic usefulness of an image.

On the numerical side, digital imaging relies on quantifiable data such as pixel values, histogram analysis, and other metrics that provide a deeper understanding of image resolution and quality. These numerical values are crucial for proper image processing and manipulation, allowing for adjustments that can improve an image's diagnostic value.

By utilizing both visual and numerical elements in evaluation, radiologists and technicians can achieve a more comprehensive assessment of image quality and ensure optimal diagnostic outcomes. This holistic approach helps to account for various factors that might affect the interpretation of an image, such as exposure levels and image processing algorithms.