This blog is no longer active and is maintained for archival purposes. It served as a resource and platform for sharing insights into forensic multimedia and digital forensics. Whilst the content remains accessible for historical reference, please note that methods, tools, and perspectives may have evolved since publication. For my current thoughts, writings, and projects, visit AutSide.Substack.com. Thank you for visiting and exploring this archive.
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Monday, September 3, 2012
Clipping transformations
The special case of contrast stretching where a =g =0 is called clipping. This is useful for noise reduction when the input signal is known to lie in the range [a,b]. Remember, of course, that excessive noise reduction leads to a loss of detail, and its application is hence subject to a trade-off between the undesirability of the noise itself and that of the reduction of artifacts.
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