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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. Comparison of raster graphics editors - Wikipedia

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

    Free photo editor Madhavan Lakshminarayanan April 14, 2009: 2022.6.1 June 11, 2022: Free MIT: F-Spot: Image viewer and organizer for GNOME: Ettore Perazzoli 2005: 0.8.2 [5] [6] [7] 2010-12-19 Free MIT: G'MIC: Free command line software for 2D or 3D image processing and visualization David Tschumperlé October 2008: 3.4.3 [8] 2024-10-11 Free ...

  6. 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.

  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. 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 ...

  9. Glossary of computer graphics - Wikipedia

    en.wikipedia.org/wiki/Glossary_of_computer_graphics

    The number of bits per pixel, sample, or texel in a bitmap image (holding one or more image channels, typical values being 4, 8, 16, 24, 32) Bitmap Image stored by pixels. Bit plane A format for bitmap images storing 1 bit per pixel in a contiguous 2D array; Several such parallel arrays combine to produce the a higher-bit-depth image. Opposite ...

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