Category:Image processing: Difference between revisions
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{{en|1={{C|Digital image processing}} is the application of {{C|Signal processing|signal processing}} techniques to the domain of {{C|Images|images}} — two-dimensional [[Wiktionary:signal|signal]]s such as [[photography|photographs]] or [[video]]. |
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Image processing does typically involve '''filtering''' or '''enhancing''' an image using various types of functions in addition to other techniques to extract information from the images. Related categories: [[:Category:Computer vision|computer vision]] and [[:Category:Imaging|imaging]].}} |
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[[Category:Multidimensional signal processing]] |
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The article '''Image processing''' in other Wikipedia projects:<br /> |
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[[Category:Digital signal processing]] |
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[[:da:Kategori:Billedbehandling]]| |
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[[Category:Analog signal processing]] |
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[[:de:Kategorie:Bildverarbeitung]]| |
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[[Category:Imaging|processing]] |
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[[:eo:Kategorio:Prilaboro de bildoj]]| |
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[[:fa:رده:پردازش تصاویر]]| |
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[[:id:Kategori:Pengolahan citra]]| |
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[[:ja:Category:画像処理]]| |
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[[:ko:분류:영상 처리]]| |
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[[:pt:Categoria:Processamento de imagem]]| |
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[[:ru:Категория:Цифровая обработка изображений]]| |
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[[:sv:Kategori:Bildbehandling]]| |
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[[:th:หมวดหมู่:การประมวลผลภาพ]]| |
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[[:zh:Category:图像处理]] |
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Latest revision as of 22:40, 28 August 2024
English: Digital image processing is the application of signal processing techniques to the domain of images — two-dimensional signals such as photographs or video.
Image processing does typically involve filtering or enhancing an image using various types of functions in addition to other techniques to extract information from the images. Related categories: computer vision and imaging.
form of signal processing for which the input is an image and the output is either an image or a set of characteristics or parameters related to the image | |||||
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Subcategories
This category has the following 19 subcategories, out of 19 total.
D
K
- Ron Kimmel (2 F)
L
- Lenna (image) (1 F)
M
N
- Nyquist Shannon theorem (25 F)
O
- Optic flow (21 F)
P
- Pixel aspect ratio (8 F)
R
- Radar geo-warping (7 F)
- Region growing (1 F)
T
V
📚
- Ada lovelace K-means (20 F)
Media in category "Image processing"
The following 200 files are in this category, out of 644 total.
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A Biologically-Inspired Neural Network Architecture for Image Processing (IA abiologicallyins1094530625).pdf 1,275 × 1,650, 160 pages; 5.52 MB
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DeepInsight method to transform non-image data to 2D image for convolutional neural network architecture.pdf 1,239 × 1,629, 7 pages; 1.78 MB
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