Interpolation is a term used to describe a method for increasing the size of the pixels of an image. It is often used to increase the overall size of the image. Some digital cameras use interpolation to create the digital zoom, but it is most commonly used software in the camera image.
There are several types of interpolation, as we shall see.
- Nearest-neighbor interpolation. This is most commonly used in the camera when the revision and extension of the photos for details. It is simply the largest pixels, and the color of a new pixel is the same as the next pixel origin. Not suitable for bigger images for print, because it can produce podium.
- The bilinear interpolation. This takes information from an original pixels and touch four pixels to determine the color of a new pixel. The results are given relatively smooth, but the quality is reduced. Images may be blurred.
- Bicubic interpolation. This is the most challenging of the group, because it takes the information from the original pixels and 16 surrounding pixels, creating a new color pixel. Calculate bicubic is much larger than the other two methods, and is able to produce a high print quality. Bicubic also offers two variants of "soft" and voted for the results "sharper".
- Fractal interpolation. Mainly for large prints used samples even more pixels than the bi-cubic interpolation. Sharper edges and less blur, but it has a very special software it requires to run.
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