Composition of DCT and Wavelet Transform for Image Compression

Liu, Xiteng

doi:10.1109/dcc.2008.15

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B Multiscale Sparse Dictionary Learning Model With Rate Con1

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2019

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“…For compression, conversion of the raw data into the transform domain is typical [31], [32]. Subsequently, the coefficients tend to be more correlated.…”

Section: B Multiscale Sparse Dictionary Learning Model With Rate Conmentioning

confidence: 99%

Multiscale Sparse Dictionary Learning With Rate Constraint for Seismic Data Compression

Tian

2019

IEEE Access

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Seismic survey is one of the most effective tools for oil and gas exploration. To date, there has been an exponential growth in the size of seismic data required for large-scale seismic survey. For transmission and storage purposes, we propose a novel seismic compression method. First, a multiscale sparse dictionary learning model with rate constraint is presented. By combining the advantages of multiscale decomposition and dictionary learning, the seismic data could be effectively represented as a sparse matrix. Rate constraints are used to obtain the sparse coefficients that are properly tailored to the compression objective. To solve the optimization problem, the alternating direction method of multipliers is adopted. Furthermore, a seismic compression scheme based on the learned dictionary is introduced. Finally, public seismic datasets are used to verify the efficiency of different seismic data compression methods. The experimental results indicate that the proposed method achieves the best seismic compression performance, including rate-distortion tradeoff and visual quality. INDEX TERMS Multiscale dictionary learning, rate constraint, sparse coding, seismic data compression.

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“…For compression, conversion of the raw data into the transform domain is typical [31], [32]. Subsequently, the coefficients tend to be more correlated.…”

Section: B Multiscale Sparse Dictionary Learning Model With Rate Conmentioning

confidence: 99%

Multiscale Sparse Dictionary Learning With Rate Constraint for Seismic Data Compression

Tian

2019

IEEE Access

View full text Add to dashboard Cite

show abstract

Composition of DCT and Wavelet Transform for Image Compression

Cited by 1 publication

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Multiscale Sparse Dictionary Learning With Rate Constraint for Seismic Data Compression

Multiscale Sparse Dictionary Learning With Rate Constraint for Seismic Data Compression

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