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Lattice Algorithms for Compression Color Space Estimation in JPEG Images

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Title: Lattice Algorithms for Compression Color Space Estimation in JPEG Images
Author: Neelamani, Ramesh; de Queiroz, Ricardo; Baraniuk, Richard G.
Type: Conference paper
Keywords: DCT coefficients; compression
Citation: R. Neelamani, R. de Queiroz and R. G. Baraniuk, "Lattice Algorithms for Compression Color Space Estimation in JPEG Images," 2001.
Abstract: JPEG (Joint Photographic Experts Group) is an international standard to compress and store digital color images [5]. Given a color image that was previously JPEG-compressed in some hidden color space, 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 operates on the discrete cosine transform (DCT) coefficients of each color plane independently during compression. Consequently, the DCT coefficients of the color image conform to a lattice structure. We exploit this special geometry using the lattice reduction algorithm from number theory and cryptography to estimate the compression color space. Simulations verify that the proposed algorithm yields accurate compression color space estimates.
Date Published: 2001-08-01

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  • ECE Publications [1048 items]
    Publications by Rice University Electrical and Computer Engineering faculty and graduate students
  • DSP Publications [508 items]
    Publications by Rice Faculty and graduate students in digital signal processing.