Image artifacts are usually classified as:

Image artifacts refer to imperfections or distortions that occur in imaging processes, which can affect the quality and accuracy of images produced by medical imaging devices or cameras. They can manifest in various forms, leading to challenges in interpretation.

The classification of image artifacts as plus/minus density is particularly significant because this type covers variations in the overall density of the image. Such variations can manifest as dark (plus) or light (minus) areas compared to the surrounding areas, ultimately leading to misinterpretations in diagnostics. Plus/minus density artifacts can be caused by several factors, including variations in exposure, development processes, or incorrect calibration of imaging equipment. Recognizing and understanding these artifacts is crucial for ensuring the accuracy and reliability of the imaging process.

On the other hand, color distortion pertains specifically to changes in color accuracy in the image, which can result from issues in color calibration or scanning/printing processes. Geometric errors refer to distortions in the spatial relationships of structures within the image, while noise variations involve random fluctuations in pixel intensity that can interfere with the clarity of the image. Each of these types of artifacts requires different approaches for identification and correction, but the concept of plus/minus density has a broad and critical impact on general image quality, making it a