JPEG compression history estimation for color images

Ramesh Neelamani; Ricardo De Queiroz; Zhigang Fan; Richard Baraniuk

JPEG compression history estimation for color images

Ramesh Neelamani, Ricardo De Queiroz, Zhigang Fan, Richard Baraniuk

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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.

Original language	English
Title of host publication	IEEE International Conference on Image Processing
Pages	245-248
Number of pages	4
Volume	3
State	Published - Dec 17 2003
Event	Proceedings: 2003 International Conference on Image Processing, ICIP-2003 - Barcelona, Spain Duration: Sep 14 2003 → Sep 17 2003

Other

Other	Proceedings: 2003 International Conference on Image Processing, ICIP-2003
Country/Territory	Spain
City	Barcelona
Period	9/14/03 → 9/17/03

ASJC Scopus subject areas

Hardware and Architecture
Computer Vision and Pattern Recognition
Electrical and Electronic Engineering

Cite this

@inproceedings{834b580e2ee04b6ba49f945f245b547d,

title = "JPEG compression history estimation for color images",

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.",

author = "Ramesh Neelamani and {De Queiroz}, Ricardo and Zhigang Fan and Richard Baraniuk",

year = "2003",

month = dec,

day = "17",

language = "English",

volume = "3",

pages = "245--248",

booktitle = "IEEE International Conference on Image Processing",

note = "null ; Conference date: 14-09-2003 Through 17-09-2003",

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T1 - JPEG compression history estimation for color images

AU - Neelamani, Ramesh

AU - De Queiroz, Ricardo

AU - Fan, Zhigang

AU - Baraniuk, Richard

PY - 2003/12/17

Y1 - 2003/12/17

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=0345134209&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0345134209&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:0345134209

VL - 3

SP - 245

EP - 248

BT - IEEE International Conference on Image Processing

Y2 - 14 September 2003 through 17 September 2003

ER -

JPEG compression history estimation for color images

Abstract

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ASJC Scopus subject areas

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