Improper digital processing often results in the introduction of noise and artifacts in the images. This is because digital image processing involves various algorithms and techniques that can inadvertently distort the original image if not applied correctly. Noise refers to random variations in brightness or color information that do not correspond to actual image content, which can obscure important details. Artifacts, on the other hand, are distortion patterns that can manifest as unnatural lines, ghosting effects, or pixelation in the image.
These issues can arise due to a variety of factors, including inappropriate adjustments to exposure settings, incorrect image reconstruction techniques, or the application of filters that are unsuitable for the specific image. Consequently, understanding and controlling digital processing techniques is crucial for maintaining image quality and ensuring that the resulting images are diagnostically useful for medical evaluation.