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Digital Photographer's Software Guide - Bertemes - Net

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In digital photography, noise is an unwanted pattern of pixels, usually a speckle pattern<br />

of random pixels, especially visible in images taken in low-light conditions at a high ISO<br />

setting. Camera manufacturers have been successful in keeping it to a minimum, especially<br />

Canon with its full-frame DSLRs. However, noise can still be obtrusive in images from<br />

cameras using smaller format sensors and often needs to be treated in post-processing.<br />

<strong>Software</strong> typically begins by analyzing the individual image, creating a “noise profile”<br />

to indicate just what type of noise is affecting picture quality. For example, there is the<br />

standard “read-out” noise generated by the amplification of the signal, but there is also<br />

“thermal noise” caused by electrons leaking from the image sensor. Scanned images from<br />

film-based photographs may show “grain,” which is often considered to be more attractive<br />

than digital noise but may still need to be eliminated from some pictures. Film grain<br />

shows up clearly in bright areas as well in shadows, but digital noise is more apparent<br />

in the dark parts of the image. Any degree of underexposure will make high-ISO noise<br />

worse in a digital picture.<br />

<strong>Software</strong> Solutions<br />

17<br />

Noise Reduction<br />

Clever software goes a long way toward banishing noise from digital images, although<br />

theoretically there is always a trade-off in using it. In practice, however, software such<br />

as Neat Image from ABSoft, Noise Ninja from PictureCode, and Image Doctor from<br />

Alien Skin can restore an otherwise unusable picture to publication quality.<br />

Noise reduction software is not very expensive but it can make a dramatic improvement<br />

to the image. The best packages are “edge aware,” meaning that they can detect and preserve<br />

the edges of objects depicted in the photograph. Every developer promises to<br />

“reduce noise while preserving fine detail,” but some are more successful at this than

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