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  2. Kernel (image processing) - Wikipedia

    en.wikipedia.org/wiki/Kernel_(image_processing)

    2D convolution with an M × N kernel requires M × N multiplications for each sample (pixel). If the kernel is separable, then the computation can be reduced to M + N multiplications. Using separable convolutions can significantly decrease the computation by doing 1D convolution twice instead of one 2D convolution. [2]

  3. Comparison of raster graphics editors - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_raster...

    Freeware image editor and graphics creator based on .NET: Rick Brewster, et al. May 6, 2004: 5.0.10 (64-bit only for Windows 11, Windows 10 (1809+), Windows Server 2019/2021) October 1, 2023: Freeware: Proprietary [25] [26] Paint Tool SAI* Simple and lightweight painting software Systemax Software February 25, 2008: 1.2.5 April 25, 2016 ~$50 ...

  4. Comparison of vector graphics editors - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_vector...

    It offers features such as vector editing, prototyping, and collaboration tools. SVG-edit is a FOSS web-based, JavaScript-driven SVG editor that works in any modern browser. Synfig Studio (also known as Synfig) is a free and open-source 2D vector graphics and timeline-based computer animation program created by Robert Quattlebaum. Synfig is ...

  5. Vector graphics editor - Wikipedia

    en.wikipedia.org/wiki/Vector_graphics_editor

    A vector graphic editor is a computer program that enables its users to create, compose and edit images with the use of mathematical and geometrical commands rather than individual pixels. This software is used in creating high-definition vector graphic images that can be scaled indefinitely without losing their quality.

  6. Convolutional layer - Wikipedia

    en.wikipedia.org/wiki/Convolutional_layer

    In artificial neural networks, a convolutional layer is a type of network layer that applies a convolution operation to the input. Convolutional layers are some of the primary building blocks of convolutional neural networks (CNNs), a class of neural network most commonly applied to images, video, audio, and other data that have the property of uniform translational symmetry.

  7. Glossary of computer graphics - Wikipedia

    en.wikipedia.org/wiki/Glossary_of_computer_graphics

    2D convolution Operation that applies linear filtering to image with a given two-dimensional kernel, able to achieve e.g. edge detection, blurring, etc. 2D image 2D texture map A texture map with two dimensions, typically indexed by UV coordinates. 2D vector

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