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A Fast Noniterative Visually Lossless Compression of Dental Images Using AGU-M Coder

Authors: Olha Krylova; Liudmyla Kryvenko; Sergey Krivenko; Vladimir Lukin;

A Fast Noniterative Visually Lossless Compression of Dental Images Using AGU-M Coder

Abstract

This paper deals with lossy compression of medical images in dentistry. For this purpose, we use AGU-M coder based on discrete cosine transform. A peculiarity of the proposed approach is that visually lossless compression is carried out without iterations and, due to this, in a fast way. Invisibility of introduced distortions and/or artifacts is provided by a proper setting of a fixed scaling factor that controls compression. This allows reaching a desired quality of compressed images characterized by PSNR-HVS-M. Experiments are performed for a set of dental images produced by Morita imaging system. Image visual quality has been analyzed by a group of dentistry experts. It is shown that the proposed approach provides several benefits compared to earlier designed counterparts, in particular, a larger compression ratio.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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