Hybrid Lossless-Lossy Compression of Industrial Radiographs

dc.contributor.author Narayan, Ajai
dc.contributor.author Ramabadran, Tenkasi
dc.date 2018-02-14T06:49:53.000
dc.date.accessioned 2020-06-30T06:39:54Z
dc.date.available 2020-06-30T06:39:54Z
dc.date.copyright Wed Jan 01 00:00:00 UTC 1992
dc.date.issued 1992
dc.description.abstract <p>Image data compression provides a means for efficient storage and transmission of digitized industrial radiographs and can result in significant cost savings when the amount of data involved is large. Image compression methods are generally classified into two categories: lossless and lossy. In lossless compression, the image data are compressed in such a way that exact reconstruction of the original images is possible. But, the compression factors obtained are generally low and image dependent i.e., they cannot be fixed. In lossy compression, some amount of distortion is introduced in the reconstructed images. The compression factors are however larger and can be fixed irrespective of the activity levels of the images.</p>
dc.format.mimetype application/pdf
dc.identifier archive/lib.dr.iastate.edu/qnde/1992/allcontent/97/
dc.identifier.articleid 2986
dc.identifier.contextkey 5800914
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath qnde/1992/allcontent/97
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/60043
dc.language.iso en
dc.relation.ispartofseries Review of Progress in Quantitative Nondestructive Evaluation
dc.source.bitstream archive/lib.dr.iastate.edu/qnde/1992/allcontent/97/1992_Narayan_HybridLossless.pdf|||Sat Jan 15 02:36:21 UTC 2022
dc.source.uri 10.1007/978-1-4615-3344-3_97
dc.subject.keywords CNDE
dc.subject.keywords Electrical and Computer Engineering
dc.title Hybrid Lossless-Lossy Compression of Industrial Radiographs
dc.type event
dc.type.genre article
dspace.entity.type Publication
relation.isSeriesOfPublication 289a28b5-887e-4ddb-8c51-a88d07ebc3f3
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