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Analog image processing is the use of an optical computer to process physical, optical images [1] formed by light waves coming from an object, as opposed to the digital image processing [2] and its use of digital computers to process pixelated, digital images. Correspondingly, a range of digital image processing techniques possess direct ...
scikit-image (formerly scikits.image) is an open-source image processing library for the Python programming language. [2] It includes algorithms for segmentation , geometric transformations, color space manipulation, analysis, filtering, morphology, feature detection , and more. [ 3 ]
The image analogy method has been used to simulate many types of image filters: Toy filters, such as blurring or "embossing." Texture synthesis from an example texture. Super-resolution, inferring a high-resolution image from a low-resolution source. Texture transfer, in which images are "texturized" with some arbitrary source texture.
An example of spatial aliasing is the moiré pattern observed in a poorly pixelized image of a brick wall. Spatial anti-aliasing techniques avoid such poor pixelizations. Aliasing can be caused either by the sampling stage or the reconstruction stage; these may be distinguished by calling sampling aliasing prealiasing and reconstruction ...
Modest dithering can resolve this without making the image appear grainy. High-end still image processing software commonly uses these techniques for improved display. Another useful application of dithering is for situations in which the graphics file format is the limiting factor.
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 ...
The central example, and often what is meant by "ringing artifacts", is the ideal low-pass filter, the sinc filter. This has an oscillatory impulse response function, as illustrated above, and the step response – its integral, the sine integral – thus also features oscillations, as illustrated at right.
For example, attempting to read a pixel 3 units outside an edge reads one 3 units inside the edge instead. Crop / Avoid overlap Any pixel in the output image which would require values from beyond the edge is skipped. This method can result in the output image being slightly smaller, with the edges having been cropped.