Compression color space estimation of JPEG images using lattice basis reduction

R. Neelamani, R. G. Baraniuk, R. De Queiroz

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Scopus citations

Abstract

Given a color image that was quantized in some hidden color space (termed compression color space) during previous JPEG compression, we aim to estimate this unknown compression color space from the image. This knowledge is potentially useful for color image enhancement and JPEG re-compression. JPEG quantizes the discrete cosine transform (DCT) coefficients of each color plane independently during compression. Consequently, the DCT coefficients of such a color image conform to a lattice. We exploit this special geometry using the lattice reduction algorithm used in cryptography to estimate the compression color space. Simulations verify that the proposed algorithm yields accurate compression space estimates.

Original languageEnglish
Title of host publicationIEEE International Conference on Image Processing
Pages890-893
Number of pages4
Volume1
StatePublished - Jan 1 2001
EventIEEE International Conference on Image Processing (ICIP) 2001 - Thessaloniki, Greece
Duration: Oct 7 2001Oct 10 2001

Other

OtherIEEE International Conference on Image Processing (ICIP) 2001
CountryGreece
CityThessaloniki
Period10/7/0110/10/01

ASJC Scopus subject areas

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

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