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  2. 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.

  3. Kernel (image processing) - Wikipedia

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

    The matrix operation being performed—convolution—is not traditional matrix multiplication, despite being similarly denoted by *. For example, if we have two three-by-three matrices, the first a kernel, and the second an image piece, convolution is the process of flipping both the rows and columns of the kernel and multiplying locally ...

  4. Blend modes - Wikipedia

    en.wikipedia.org/wiki/Blend_modes

    This mode is commutative: exchanging two layers does not change the result. If the two layers contain the same picture, multiply blend mode is equivalent to a quadratic curve, or gamma correction with γ=2. For image editing it is sometimes more convenient to simply go to the Curves dialog of the software, because it gives more flexibility in ...

  5. Convolutional neural network - Wikipedia

    en.wikipedia.org/wiki/Convolutional_neural_network

    As the convolution kernel slides along the input matrix for the layer, the convolution operation generates a feature map, which in turn contributes to the input of the next layer. This is followed by other layers such as pooling layers , fully connected layers, and normalization layers.

  6. Layers (digital image editing) - Wikipedia

    en.wikipedia.org/wiki/Layers_(digital_image_editing)

    In graphics software, layers are the different levels at which one can place an object or image file. In the program, layers can be stacked, merged, or defined when creating a digital image. Layers can be partially obscured allowing portions of images within a layer to be hidden or shown in a translucent manner within another image.

  7. Convolution - Wikipedia

    en.wikipedia.org/wiki/Convolution

    Convolution has applications that include probability, statistics, acoustics, spectroscopy, signal processing and image processing, geophysics, engineering, physics, computer vision and differential equations. [1] The convolution can be defined for functions on Euclidean space and other groups (as algebraic structures).

  8. Graphics software - Wikipedia

    en.wikipedia.org/wiki/Graphics_software

    Fauve Matisse (later Macromedia xRes) was a pioneering program of the early 1990s, notably introducing layers in customer software. [5] Currently Adobe Photoshop is one of the most used and best-known graphics programs in the Americas, having created more custom hardware solutions in the early 1990s, but was initially subject to various litigation.

  9. Photopea - Wikipedia

    en.wikipedia.org/wiki/Photopea

    Photopea is advertising-supported software. It is compatible with all modern web browsers, including Opera, Edge, Chrome, and Firefox. [5] The app is compatible with raster and vector graphics, such as Photoshop's PSD as well as JPEG, PNG, DNG, GIF, SVG, PDF and other image file formats. While browser-based, Photopea stores all files locally ...