Foundations, Inference, and Deconvolution in Image Restoration
Image restoration is a critical preprocessing step in computer vision, producing images with reduced noise, blur, and pixel defects. This enables precise higher-level reasoning as to the scene content in later stages of the vision pipeline (e.g., object segmentation, detection, recognition, and...
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| Format: | Others |
| Language: | en |
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2018
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| Online Access: | https://tuprints.ulb.tu-darmstadt.de/7404/1/thesis.pdf Schelten, Kevin <http://tuprints.ulb.tu-darmstadt.de/view/person/Schelten=3AKevin=3A=3A.html> (2018): Foundations, Inference, and Deconvolution in Image Restoration.Darmstadt, Technische Universität, [Ph.D. Thesis] |