Journal ArticleDOI
On the modeling of DCT and subband image data for compression
K.A. Birney,Thomas R. Fischer +1 more
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TLDR
Image subband and discrete cosine transform coefficients are modeled for efficient quantization and noiseless coding and pyramid codes for transform and subband image coding are selected.Abstract:
Image subband and discrete cosine transform coefficients are modeled for efficient quantization and noiseless coding. Quantizers and codes are selected based on Laplacian, fixed generalized Gaussian, and adaptive generalized Gaussian models. The quantizers and codes based on the adaptive generalized Gaussian models are always superior in mean-squared error distortion performance but, generally, by no more than 0.08 bit/pixel, compared with the much simpler Laplacian model-based quantizers and noiseless codes. This provides strong motivation for the selection of pyramid codes for transform and subband image coding. >read more
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DCT-domain watermarking techniques for still images: detector performance analysis and a new structure
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References
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Journal ArticleDOI
A theory for multiresolution signal decomposition: the wavelet representation
TL;DR: In this paper, it is shown that the difference of information between the approximation of a signal at the resolutions 2/sup j+1/ and 2 /sup j/ (where j is an integer) can be extracted by decomposing this signal on a wavelet orthonormal basis of L/sup 2/(R/sup n/), the vector space of measurable, square-integrable n-dimensional functions.
Journal ArticleDOI
Subband coding of images
John W. Woods,S. O'Neil +1 more
TL;DR: A simple yet efficient extension of this concept to the source coding of images by specifying the constraints for a set of two-dimensional quadrature mirror filters for a particular frequency-domain partition and showing that these constraints are satisfied by a separable combination of one-dimensional QMF's.
Journal ArticleDOI
Distributions of the Two-Dimensional DCT Coefficients for Images
R. Reininger,Jerry D. Gibson +1 more
TL;DR: From a simulation of the DCT coding System it is shown that the assumption that the coefficients are Laplacian yields a higher actual output signal-to-noise ratio and a much better agreement between theory and simulation than the Gaussian assumption.
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