Packing and depacking histograms with statistical processing

A method is described and implemented which reduces the size of a histograms data base arising from a large set of histograms. The program compresses the histogram data before storage, avoiding significant loss of information and can be adapted to sample more densely areas of interest. The method ha...

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Bibliographic Details
Published inComputer physics communications Vol. 93; no. 2; pp. 289 - 302
Main Authors Louvel, S., Chamayou, J.-F.
Format Journal Article
LanguageEnglish
Published Elsevier B.V 1996
Subjects
Empirical function
Histogram
Image processing
Spline
Empirical function
Histogram
Image processing
Spline
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Summary:A method is described and implemented which reduces the size of a histograms data base arising from a large set of histograms. The program compresses the histogram data before storage, avoiding significant loss of information and can be adapted to sample more densely areas of interest. The method has been applied to image processing where histograms were numbers of counts for the 256 gray levels of a subsampled image of millions of pixels.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:0010-4655
1879-2944
DOI:10.1016/0010-4655(95)00129-8