ANALYSIS OF INPAINTING VIA UNIVERSAL SHEARLET SYSTEMS

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AMIRI Z.; KAMYABI GOL R.A.

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Seminar Paper

Paper Information

Seminar: SEMINAR ON HARMONIC ANALYSIS AND APPLICATIONS
Year:2017 | Issue:5

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Title

ANALYSIS OF INPAINTING VIA UNIVERSAL SHEARLET SYSTEMS

Author(s)

AMIRI Z. | KAMYABI GOL R.A.

Keywords

CO-SPARSITY

COMPRESSED SENSING

L1 MINIMIZATION

Abstract

CURRENTLY, THRESHOLDING AND COMPRESSED SENSING IN COMBINATION WITH BOTH WAVELET AND SHEARLET TRANSFORMS HAVE BEEN VERY SUCCESSFUL IN INPAITING TASKS. HOWEVER, NUMERICAL RESULTS DEMONSTRATE THAT SHEARLETS OUTPERFORM WAVELETS IN THE PROBLEM OF IMAGE INPAINTING. IN THIS PAPER WE SET UP A PARTICULAR MODEL BY INSPIRED SEISMIC DATA AND A BOX MASK TO MODEL MISSING DATA. THE CHALLENGE IS TO FILL IN THE BOX THAT IS ATTENDED IN CORRUPTED IMAGES.

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APA: Copy

AMIRI, Z., & KAMYABI GOL, R.A.. (2017). ANALYSIS OF INPAINTING VIA UNIVERSAL SHEARLET SYSTEMS. SEMINAR ON HARMONIC ANALYSIS AND APPLICATIONS. SID. https://sid.ir/paper/939924/en

Vancouver: Copy

AMIRI Z., KAMYABI GOL R.A.. ANALYSIS OF INPAINTING VIA UNIVERSAL SHEARLET SYSTEMS. 2017. Available from: https://sid.ir/paper/939924/en

IEEE: Copy

Z. AMIRI, and R.A. KAMYABI GOL, “ANALYSIS OF INPAINTING VIA UNIVERSAL SHEARLET SYSTEMS,” presented at the SEMINAR ON HARMONIC ANALYSIS AND APPLICATIONS. 2017, [Online]. Available: https://sid.ir/paper/939924/en

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