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  2. Unsharp masking - Wikipedia

    en.wikipedia.org/wiki/Unsharp_masking

    The same differencing principle is used in the unsharp-masking tool in many digital-imaging software packages, such as Adobe Photoshop and GIMP. [1] The software applies a Gaussian blur to a copy of the original image and then compares it to the original. If the difference is greater than a user-specified threshold setting, the images are (in ...

  3. Kernel (image processing) - Wikipedia

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

    In image processing, a kernel, convolution matrix, or mask is a small matrix used for blurring, sharpening, embossing, edge detection, and more. This is accomplished by doing a convolution between the kernel and an image .

  4. Gaussian blur - Wikipedia

    en.wikipedia.org/wiki/Gaussian_blur

    The difference between a small and large Gaussian blur. In image processing, a Gaussian blur (also known as Gaussian smoothing) is the result of blurring an image by a Gaussian function (named after mathematician and scientist Carl Friedrich Gauss). It is a widely used effect in graphics software, typically to reduce image noise and reduce detail.

  5. Difference of Gaussians - Wikipedia

    en.wikipedia.org/wiki/Difference_of_Gaussians

    obtained by subtracting the higher-variance Gaussian from the lower-variance Gaussian. The difference of Gaussian operator is the convolutional operator associated with this kernel function. So given an n -dimensional grayscale image I : R n → R {\\displaystyle I:\\mathbb {R} ^{n}\\rightarrow \\mathbb {R} } , the difference of Gaussians of ...

  6. Box blur - Wikipedia

    en.wikipedia.org/wiki/Box_blur

    A box blur (also known as a box linear filter) is a spatial domain linear filter in which each pixel in the resulting image has a value equal to the average value of its neighboring pixels in the input image. It is a form of low-pass ("blurring") filter. A 3 by 3 box blur ("radius 1") can be written as matrix

  7. Bilateral filter - Wikipedia

    en.wikipedia.org/wiki/Bilateral_filter

    As the range parameter σ r increases, the bilateral filter gradually approaches Gaussian convolution more closely because the range Gaussian widens and flattens, which means that it becomes nearly constant over the intensity interval of the image. As the spatial parameter σ d increases, the larger features get smoothened.

  8. Transparency (graphic) - Wikipedia

    en.wikipedia.org/wiki/Transparency_(graphic)

    In addition, transparency is often an "extra" for a graphics format, and some graphics programs will ignore the transparency. Animated PNG 8-bit transparency. Raster file formats that support transparency include GIF, PNG, BMP, TIFF, TGA and JPEG 2000, through either a transparent color or an alpha channel.

  9. Spatial anti-aliasing - Wikipedia

    en.wikipedia.org/wiki/Spatial_anti-aliasing

    Gaussian plus differential function One might consider a Gaussian plus enough of its second derivative to flatten the top (in the frequency domain) or sharpen it up (in the spatial domain), as shown. Functions based on the Gaussian function are natural choices, because convolution with a Gaussian gives another Gaussian whether applied to x and ...