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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. 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.

  4. Image derivative - Wikipedia

    en.wikipedia.org/wiki/Image_derivative

    Image derivatives can be computed by using small convolution filters of size 2 × 2 or 3 × 3, such as the Laplacian, Sobel, Roberts and Prewitt operators. [1] However, a larger mask will generally give a better approximation of the derivative and examples of such filters are Gaussian derivatives [ 2 ] and Gabor filters . [ 3 ]

  5. Separable filter - Wikipedia

    en.wikipedia.org/wiki/Separable_filter

    A separable filter in image processing can be written as product of two more simple filters. Typically a 2-dimensional convolution operation is separated into two 1-dimensional filters.

  6. Gabor filter - Wikipedia

    en.wikipedia.org/wiki/Gabor_filter

    Its impulse response is defined by a sinusoidal wave (a plane wave for 2D Gabor filters) multiplied by a Gaussian function. [6] Because of the multiplication-convolution property (Convolution theorem), the Fourier transform of a Gabor filter's impulse response is the convolution of the Fourier transform of the harmonic function (sinusoidal function) and the Fourier transform of the Gaussian ...

  7. Convolution - Wikipedia

    en.wikipedia.org/wiki/Convolution

    In optics, an out-of-focus photograph is a convolution of the sharp image with a lens function. The photographic term for this is bokeh. In image processing applications such as adding blurring. In digital data processing In analytical chemistry, Savitzky–Golay smoothing filters are used for the analysis of spectroscopic data.

  8. 20YO Blind Cat Found Stuck On Ice Chunk In Lake ... - AOL

    www.aol.com/20yo-blind-cat-gets-stuck-110234028.html

    Image credits: Westford Animal Control / Facebook. A woman walking by the Nabnasset Lake in Westfold, Massachusetts, noticed a cat stuck on the ice in the middle of the lake and immediately called ...

  9. Comparison of raster graphics editors - Wikipedia

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

    Free multiplatform layered image editor circular 2011: 7.2.2 [19] 2022-08-23 Free GPL-3.0-only: LiveQuartz: Basic multi-layer photo editor Romain Piveteau 2005: 2.8 December 1, 2018: Proprietary: MacPaint* Obsolete basic editor Bill Atkinson: 1984: 2.0 Proprietary: Microsoft Office Picture Manager* Basic image editor Microsoft: 2002: 14.0 ...