Linear pre/post filters for DCT-based image coding systems

Murching, A.M.; Woods, John W.

doi:10.1117/1.482614

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Reconstruction Error and Its Power Spectrum2

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“…These assumptions are reasonable [7], and will be validated experimentally in Section 2.1. The error psd for the optimal (rate-distortion sense) coder for a Gaussian source with memory can also be shown [l] (cf.…”

Section: Reconstruction Error and Its Power Spectrummentioning

confidence: 95%

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Reconstruction error in transform/subband coding

Murching

Woods

Proceedings of International Conference on Image Processing

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We use the linear gain-plus-additive noise model for the class of pdf-optimized scalar quantizers to develop a frequency domain analysis of transform/subband coding systems. We derive a novel and explicit expression for the psd of the reconstruction error, and show that this psd has signal, alias and noise components. We employ this expression to compare different block transforms and subband filters with the rate-distortion optimal source coder, for a 1-D Gauss-Markov source. This paper quantifies, via the 'out-of-band' noise energy in the reconstruction error, the performance gap between DCT-based coders and coders that use subband/wavelet filters.

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Section: Reconstruction Error and Its Power Spectrummentioning

confidence: 95%

“…where U: is the variance of the k-th subband and 4 solves then we can show [7] that its psd is: # 1). These assumptions are reasonable [7], and will be validated experimentally in Section 2.1.…”

Section: Reconstruction Error and Its Power Spectrummentioning

confidence: 98%

Reconstruction error in transform/subband coding

Murching

Woods

Proceedings of International Conference on Image Processing

View full text Add to dashboard Cite

show abstract

Linear pre/post filters for DCT-based image coding systems

Cited by 1 publication

References 27 publications

Reconstruction error in transform/subband coding

Reconstruction error in transform/subband coding

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