exposurescans

Exposure scanning, commonly referred to as an *exposure scan*, is a method used in photography and digital imaging to capture a range of light intensities within a single frame. Unlike traditional photography, where exposure settings are fixed for each shot, exposure scanning involves taking multiple exposures of the same scene in quick succession, often with varying shutter speeds, apertures, or ISO settings. The resulting images are later combined to create a final output that retains detail across both highlights and shadows—a technique particularly useful in high-contrast scenes.

The process is frequently employed in astrophotography, landscape photography, and other fields where dynamic ranges exceed the capabilities of standard cameras. Early exposure scanning relied on manual adjustments, but modern digital workflows often use software tools to automate the process. For example, a photographer might take a series of bracketed exposures (e.g., -2, 0, +2 stops) and merge them using techniques like *HDR (High Dynamic Range) imaging* or *exposure blending* in post-processing.

Exposure scanning differs from *bracketing*, which intentionally captures multiple exposures for later selection, as it emphasizes merging data rather than choosing a single best shot. The technique is also distinct from *light painting*, where light sources are moved during exposure. While exposure scanning enhances detail, it requires careful alignment and blending to avoid artifacts like ghosting or color shifts. Advances in computational photography have made the method more accessible, allowing photographers to achieve professional-level dynamic range with consumer-grade equipment.

The term "exposure scan" is sometimes used interchangeably with *multi-exposure* or *bracketed exposure*, though the latter implies a more deliberate approach to capturing variations. In digital workflows, tools like Photoshop, Lightroom, or specialized plugins automate the merging process, making exposure scanning a practical solution for capturing scenes with extreme contrast.