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Futhermore, PSB accurately selects the modifiable coefficients by exploiting the quantization matrix and introducing a novel parameter, named discrepancy, measuring how much a given image portion is suitable for embedding the hidden message.
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By exploiting the information from the quantization constraint sets and transform coefficient statistics only in the transform domain, the proposed method can provide an enhanced video with better quality than any of the available copies while incurring much lower computational complexity compared with the previous method.
The side-match finite-state vector quantization (SMVQ) schemes improve performance over the vector quantization by exploiting the neighboring vector correlations within the image.
By exploiting the SMQ, both the computational complexity and the memory requirement of the quantization are significantly reduced.
The DQ model (2) can be further refined by exploiting the H.264/AVC standard relation, where QStep doubles in value each six increments of QP [14] with QStep being the quantization step size and QP the quantization index.
We thus prefer to avoid the quantization of DCM coefficients by applying a one-to-one transformation between the DCM coefficients and a reduced set of LSF vectors, as was done in [20, 21].6 This reduced set of LSF vectors is quantized using vector quantization, which is efficient for exploiting the intra-frame LSF redundancy.
In [3], quantization matrices for the use in DCT-based compression were designed by exploiting visibility thresholds that are experimentally measured for quantization errors of the DCT coefficients.
Exploiting the normal remesher of Guskov et al., the proposed algorithm includes a wavelet transform and an original bit allocation optimizing the quantization of the wavelet coefficients.
Exploiting the community.
This relationship is also observed by the other researchers, and thus, pre-/post-filtering techniques were introduced by exploiting neighboring pixels to reduce pixel intensity discrepancy in decoded frames due to the quantization and/or block-based ME & MC[24, 25].
This relationship is also observed by the other researchers, and thus, pre-/post-filtering techniques were introduced by exploiting neighboring pixels to reduce pixel intensity discrepancy in decoded frames due to the quantization and/or block-based ME&MC [31, 32].
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