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  2. Image stabilization - Wikipedia

    en.wikipedia.org/wiki/Image_stabilization

    Image stabilization (IS) is a family of techniques that reduce blurring associated with the motion of a camera or other imaging device during exposure.. Generally, it compensates for pan and tilt (angular movement, equivalent to yaw and pitch) of the imaging device, though electronic image stabilization can also compensate for rotation about the optical axis (). [1]

  3. Pixelization - Wikipedia

    en.wikipedia.org/wiki/Pixelization

    Completely obscuring the censored area with pixels of a constant color or pixels of random colors escapes this drawback but can be more aesthetically jarring. An additional drawback, when pixelization is used to reduce the repulsing, disturbing or, more generally shocking, aspect of an image, is that all information contained in the pixelized ...

  4. iPhone 6 - Wikipedia

    en.wikipedia.org/wiki/IPhone_6

    The most significant changes to the iPhone 6 and iPhone 6 Plus are its displays; both branded as "Retina HD Display" and "ion-strengthened", the iPhone 6 display is 4.7 inches in size with a 16:9 resolution of 1334x750 (326 ppi, minus one row of pixels), while the iPhone 6 Plus includes a 5.5-inch 1920x1080 display (401 PPI). The displays use a ...

  5. 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

  6. Normalization (image processing) - Wikipedia

    en.wikipedia.org/wiki/Normalization_(image...

    In more general fields of data processing, such as digital signal processing, it is referred to as dynamic range expansion. [1] The purpose of dynamic range expansion in the various applications is usually to bring the image, or other type of signal, into a range that is more familiar or normal to the senses, hence the term normalization.

  7. Blend modes - Wikipedia

    en.wikipedia.org/wiki/Blend_modes

    This is the standard blend mode which uses the top layer alone, [3] without mixing its colors with the layer beneath it: [example needed] f ( a , b ) = b {\displaystyle f(a,b)=b} where a is the value of a color channel in the underlying layer, and b is that of the corresponding channel of the upper layer.

  8. Apple 'Glowtime' event sees iPhone 16, iPhone 16 Pro, Apple ...

    www.aol.com/news/apple-glowtime-event-see-iphone...

    Apple launched its latest entry into the smartphone market and major upgrades in its wearables at the "It's Glowtime" event Monday.

  9. Difference of Gaussians - Wikipedia

    en.wikipedia.org/wiki/Difference_of_Gaussians

    Note that the Laplacian of the Gaussian can be used as a filter to produce a Gaussian blur of the Laplacian of the image because = by standard properties of convolution. The relationship between the difference of Gaussians operator and the Laplacian of the Gaussian operator is explained further in Appendix A in Lindeberg (2015).