What is another commonly used filter, besides the unsharp mask, for correcting and addressing imaging sensor issues in raw files?

The dust and scratches filter is designed specifically to help correct imperfections that may appear in imaging sensor data such as dust spots or scratches on the sensor or the lens. When working with raw files, these unwanted blemishes can be addressed effectively using this filter, which automates the process of detecting and removing or masking these flaws, leading to cleaner final images.

The other filters listed serve different purposes. Neutral density filters are used to reduce the intensity of light entering the lens, which helps in scenarios where a slower shutter speed or wider aperture is needed. Polarizing filters are employed to reduce reflections and glare from surfaces, enhance color saturation, and increase contrast in skies, while graduated filters typically balance exposure between the sky and the land in landscape photography. While these options are useful in various contexts, they do not specifically address sensor-related imperfections in the same direct manner as the dust and scratches filter.