arXiv Open Access 2024

Multiscale texture separation

Jerome Gilles

Lihat Sumber

Abstrak

In this paper, we investigate theoretically the behavior of Meyer's image cartoon + texture decomposition model. Our main results is a new theorem which shows that, by combining the decomposition model and a well chosen Littlewood-Paley filter, it is possible to extract almost perfectly a certain class of textures. This theorem leads us to the construction of a parameterless multiscale texture separation algorithm. Finally, we propose to extend this algorithm into a directional multiscale texture separation algorithm by designing a directional Littlewood-Paley filter bank. Several experiments show the efficiency of the proposed method both on synthetic and real images.

Topik & Kata Kunci

eess.IV cs.CV math.FA

Penulis (1)

Jerome Gilles

Format Sitasi

APA MLA BibTeX

Gilles, J. (2024). Multiscale texture separation. https://arxiv.org/abs/2411.00894

Akses Cepat

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Informasi Jurnal

Tahun Terbit: 2024
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓