Density Driven Diffusion
| Autor: | Freddie Åström, Vasileios Zografos, Michael Felsberg |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2013 |
| Předmět: |
Work (thermodynamics)
Computer science Stochastic process Anisotropic diffusion 02 engineering and technology Electrical Engineering Electronic Engineering Information Engineering Grayscale Image (mathematics) Homogeneous Computer Science::Computer Vision and Pattern Recognition 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Tensor Diffusion (business) Elektroteknik och elektronik Algorithm Simulation |
| Zdroj: | Image Analysis ISBN: 9783642388859 SCIA |
| Popis: | In this work we derive a novel density driven diffusion scheme for image enhancement. Our approach, called D3, is a semi-local method that uses an initial structure-preserving oversegmentation step of the input image. Because of this, each segment will approximately conform to a homogeneous region in the image, allowing us to easily estimate parameters of the underlying stochastic process thus achieving adaptive non-linear filtering. Our method is capable of producing competitive results when compared to state-of-the-art methods such as non-local means, BM3D and tensor driven diffusion on both color and grayscale images. VIDI GARNICS BILDLAB |
| Databáze: | OpenAIRE |
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