arXiv Open Access 2008

A New Trend in Optimization on Multi Overcomplete Dictionary toward Inpainting

SeyyedMajid Valiollahzadeh Mohammad Nazari Massoud Babaie-Zadeh Christian Jutten

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Abstrak

Recently, great attention was intended toward overcomplete dictionaries and the sparse representations they can provide. In a wide variety of signal processing problems, sparsity serves a crucial property leading to high performance. Inpainting, the process of reconstructing lost or deteriorated parts of images or videos, is an interesting application which can be handled by suitably decomposition of an image through combination of overcomplete dictionaries. This paper addresses a novel technique of such a decomposition and investigate that through inpainting of images. Simulations are presented to demonstrate the validation of our approach.

Topik & Kata Kunci

cs.MM cs.AI

Penulis (4)

SeyyedMajid Valiollahzadeh

Mohammad Nazari

Massoud Babaie-Zadeh

Christian Jutten

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Valiollahzadeh, S., Nazari, M., Babaie-Zadeh, M., Jutten, C. (2008). A New Trend in Optimization on Multi Overcomplete Dictionary toward Inpainting. https://arxiv.org/abs/0812.2405

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Tahun Terbit: 2008
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓