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231223s2006 xx ||||| 00| ||eng c |
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|a pubmed24n0545.xml
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|a (DE-627)NLM163413975
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|a (NLM)16764263
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|a DE-627
|b ger
|c DE-627
|e rakwb
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| 041 |
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|a eng
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| 100 |
1 |
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|a Neelamani, Ramesh
|e verfasserin
|4 aut
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| 245 |
1 |
0 |
|a JPEG compression history estimation for color images
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| 264 |
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1 |
|c 2006
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| 336 |
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|a Text
|b txt
|2 rdacontent
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| 337 |
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|a ohne Hilfsmittel zu benutzen
|b n
|2 rdamedia
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| 338 |
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|a Band
|b nc
|2 rdacarrier
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| 500 |
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|a Date Completed 07.07.2006
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|a Date Revised 26.10.2019
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|a published: Print
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|a Citation Status MEDLINE
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| 520 |
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|a We routinely encounter digital color images that were previously compressed using the Joint Photographic Experts Group (JPEG) standard. En route to the image's current representation, the previous JPEG compression's various settings-termed its JPEG compression history (CH)-are often discarded after the JPEG decompression step. Given a JPEG-decompressed color image, this paper aims to estimate its lost JPEG CH. We observe that the previous JPEG compression's quantization step introduces a lattice structure in the discrete cosine transform (DCT) domain. This paper proposes two approaches that exploit this structure to solve the JPEG Compression History Estimation (CHEst) problem. First, we design a statistical dictionary-based CHEst algorithm that tests the various CHs in a dictionary and selects the maximum a posteriori estimate. Second, for cases where the DCT coefficients closely conform to a 3-D parallelepiped lattice, we design a blind lattice-based CHEst algorithm. The blind algorithm exploits the fact that the JPEG CH is encoded in the nearly orthogonal bases for the 3-D lattice and employs novel lattice algorithms and recent results on nearly orthogonal lattice bases to estimate the CH. Both algorithms provide robust JPEG CHEst performance in practice. Simulations demonstrate that JPEG CHEst can be useful in JPEG recompression; the estimated CH allows us to recompress a JPEG-decompressed image with minimal distortion (large signal-to-noise-ratio) and simultaneously achieve a small file-size
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| 650 |
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4 |
|a Journal Article
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| 650 |
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4 |
|a Research Support, Non-U.S. Gov't
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| 650 |
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4 |
|a Research Support, U.S. Gov't, Non-P.H.S.
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| 700 |
1 |
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|a de Queiroz, Ricardo
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Fan, Zhigang
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Dash, Sanjeeb
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Baraniuk, Richard G
|e verfasserin
|4 aut
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| 773 |
0 |
8 |
|i Enthalten in
|t IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
|d 1992
|g 15(2006), 6 vom: 30. Juni, Seite 1365-78
|w (DE-627)NLM09821456X
|x 1941-0042
|7 nnns
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| 773 |
1 |
8 |
|g volume:15
|g year:2006
|g number:6
|g day:30
|g month:06
|g pages:1365-78
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| 912 |
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|a GBV_USEFLAG_A
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|a SYSFLAG_A
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| 912 |
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|a GBV_NLM
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| 912 |
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|a GBV_ILN_350
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| 951 |
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|a AR
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| 952 |
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|d 15
|j 2006
|e 6
|b 30
|c 06
|h 1365-78
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