Which one of the following are types of post-processing of digital images?

Post-processing techniques in digital imaging are essential for improving the quality of images and enhancing their diagnostic utility. Each of the techniques mentioned plays a unique role in the manipulation and enhancement of digital images.

Contrast enhancement refers to the adjustment of the range and distribution of intensity values within an image. This technique helps to make specific structures more visible, thereby improving the overall interpretability of the image. By enhancing the contrast, radiologists can better distinguish between different tissues or abnormalities.

Image stitching involves combining multiple images into a single, comprehensive view, which can be particularly useful in imaging modalities that require capturing a large area, such as when imaging the abdomen or other extensive body parts. This technique allows for a broader view that aids in diagnosis and assessment.

Windowing is a method used to optimize the visibility of structures in a digital image by adjusting the brightness and contrast levels specific to various anatomical features. It allows the viewer to focus on different density ranges within the image, making it easier to detect subtle differences in tissue composition.

Since all three of these techniques—contrast enhancement, image stitching, and windowing—are integral to post-processing in digital imaging, the correct answer encompasses all these methods. Each one enhances the image quality and increases the diagnostic value, making "all of