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dc.contributor.authorNeelamani, Ramesh
de Queiroz, Ricardo
Fan, Zhigang
Baraniuk, Richard G.
dc.creatorNeelamani, Ramesh
de Queiroz, Ricardo
Fan, Zhigang
Baraniuk, Richard G.
dc.date.accessioned 2007-10-31T00:55:45Z
dc.date.available 2007-10-31T00:55:45Z
dc.date.issued 2003-09-01
dc.date.submitted 2003-09-01
dc.identifier.citation R. Neelamani, R. de Queiroz, Z. Fan and R. G. Baraniuk, "JPEG Compression History Estimation for Color Images," vol. 3, 2003.
dc.identifier.urihttps://hdl.handle.net/1911/20146
dc.description Conference Paper
dc.description.abstract We routinely encounter digital color images that were previously JPEG-compressed. We aim to retrieve the various settings - termed JPEG compression history (CH) - employed during previous JPEG operations. This information is often discarded en-route to the image's current representation. The discrete cosine transform coefficient histograms of previously JPEG-compressed images exhibit near-periodic behavior due to quantization. We propose a statistical approach to exploit this structure and thereby estimate the image's CH. Using simulations, we first demonstrate the accuracy of our estimation. Further, we show that JPEG recompression performed by exploiting the estimated CH strikes an excellent file-size versus distortion tradeoff.
dc.language.iso eng
dc.subject.otherDSP for Communications
dc.title JPEG Compression History Estimation for Color Images
dc.type Conference paper
dc.date.note 2006-06-06
dc.citation.bibtexName inproceedings
dc.date.modified 2006-06-06
dc.contributor.orgDigital Signal Processing (http://dsp.rice.edu/)
dc.citation.volumeNumber 3
dc.citation.location Barcelona, Spain
dc.citation.conferenceName IEEE International Conference on Image Processing
dc.type.dcmi Text
dc.type.dcmi Text
dc.identifier.doihttp://dx.doi.org/10.1109/ICIP.2003.1247227
dc.citation.firstpage 245
dc.citation.lastpage 248


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  • DSP Publications [508]
    Publications by Rice Faculty and graduate students in digital signal processing.
  • ECE Publications [1287]
    Publications by Rice University Electrical and Computer Engineering faculty and graduate students

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