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Image quality has played significant roles in many applications such as land cover classification in remote sensing, medical diagnosis, face recognition, object tracking, rover guidance, etc. In the past few decades, imaging hardware has improved tremendously in terms of resolution, making widespread usage of images in many diverse applications on Earth and planetary missions.
International audienceThis book represents a sample of recent contributions of researchers all around the world in the field of image restoration. The book consists of 15 chapters organized in three main sections (Theory, Applications, Interdisciplinarity).
Image restoration and enhancement is a classical research area in image processing. Previously, adaptive local and nonlocal approximations have been popular. Local approximations attempt to estimate the image content in a locally adaptive neighbourhood. Nonlocal methods exploit the self-similarity within the whole image without the constraint of locality.

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| | | | | | VA - Disco House 2012 Vol.1 (2012)