Diffusion PDEs on Vector-Valued Images  

Oleh:

Tschumperle, D. ; Deriche, R.

Jenis: Article from Bulletin/Magazine
Dalam koleksi: IEEE Signal Processing Magazine vol. 19 no. 5 (2002), page 16-25.
Topik: diffusion; diffusion; PDEs; vector - valued; images

Ketersediaan

Perpustakaan Pusat (Semanggi) Nomor Panggil: SS26.6 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

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Isi artikel

In this article, we propose a local and geometric point of view of vector image filtering using diffusion PDE s. It allows us to analyze proposed methods of vector data regularization, as well as propose a new vector PDE, well adapted for image restoration. This equation, whose key feature is the use of a local vector geometry, combines the advantages of diffusion PDE s for noise removing but also uses vector shock filters to enhance blurred edges. The extension to norm constrained vector fields can be the start for other well - known constrained problems, as optical flow computation, orientation analysis, and tensor image restoration.

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