enow.com Web Search

Search results

1. Results from the WOW.Com Content Network

2. Image restoration by artificial intelligence - Wikipedia

   en.wikipedia.org/wiki/Image_restoration_by...

   Corruption may come in many forms such as motion blur, noise and camera mis-focus. [1] Image restoration is performed by reversing the process that blurred the image and such is performed by imaging a point source and use the point source image, which is called the Point Spread Function (PSF) to restore the image information lost to the ...

3. Deblurring - Wikipedia

   en.wikipedia.org/wiki/Deblurring

   Deblurring recovers a sharp image S from a blurred image B, where S is convolved with K (the blur kernel) to generate B. Mathematically, this can be represented as = (where * represents convolution). While this process is sometimes known as unblurring, deblurring is the correct technical word.

4. Unsharp masking - Wikipedia

   en.wikipedia.org/wiki/Unsharp_masking

   Specifically, unsharp masking is a simple linear image operation—a convolution by a kernel that is the Dirac delta minus a gaussian blur kernel. Deconvolution, on the other hand, is generally considered an ill-posed inverse problem that is best solved by nonlinear approaches. While unsharp masking increases the apparent sharpness of an image ...

5. List of satellite map images with missing or unclear data

   en.wikipedia.org/wiki/List_of_satellite_map...

   For example, Westchester County, New York asked Google to blur potential terrorism targets (such as an amusement park, a beach, and parking lots) from its satellite imagery. [2] There are situations where the censorship of certain sites was subsequently removed.

6. 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.

7. 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.