What is image enhancement?

• A. User manipulation of brightness, contrast, sharpness, noise
• B. Acquiring more data
• C. Resampling
• D. Compression

Answer: (A)

Image enhancement is about improving how an image looks by adjusting its visual properties to make details more viewable or interpretable. The key idea is that the viewer or analyst can tune aspects like brightness, contrast, sharpness, and noise to bring out features in the image. For example, increasing brightness or adjusting contrast can reveal details hidden in shadows or highlights, sharpening edges can make boundaries clearer, and reducing noise can smooth grain to make patterns easier to see. These adjustments modify the appearance of the existing data rather than adding new information.

Other options don’t fit because acquiring more data means capturing additional information from the scene, which is not enhancement of the image itself. Resampling changes the image’s sampling grid or resolution, which affects how the image is represented but isn’t inherently about improving perceptual quality. Compression reduces file size and can degrade quality, rather than aim to make the image look better.