Image restoration involving connectedness

Simon Masnou; Jean-Michel Morel

doi:10.1117/12.301389

1 February 1998 Image restoration involving connectedness

Simon Masnou, Jean-Michel Morel

Proceedings Volume 3346, Sixth International Workshop on Digital Image Processing and Computer Graphics: Applications in Humanities and Natural Sciences; (1998) https://doi.org/10.1117/12.301389
Event: Sixth International Workshop on Digital Image Processing and Computer Graphics, 1997, Vienna, Austria

Abstract

Two local adaptive nonlinear filters for image denoising are described and compared to other methods. The first one is a median filter computed over a connected neighborhood that fits the local conformation of level lines. The second one deals with the size of grains in image. Both filters depend on a single parameter, the area A, are morphological more than other classic morphological filters to denoise while preserving image structures. They are particularly designed for automation.

Citation Download Citation

Simon Masnou and Jean-Michel Morel "Image restoration involving connectedness", Proc. SPIE 3346, Sixth International Workshop on Digital Image Processing and Computer Graphics: Applications in Humanities and Natural Sciences, (1 February 1998); https://doi.org/10.1117/12.301389

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