Interpolation (Interpolation).

Interpolation (Interpolation / resampling) is an image processing method, which can increase or decrease the digital image pixel number. .Some digital cameras use to create a pixel interpolation method to produce than the actual pixel multi-sensor images, or create images generated by digital zoom. .In fact, almost all of the image processing software to support one or more interpolation. .<P> Interpolation (Interpolation / resampling) is an image processing method, which can increase or decrease the digital image pixel number. .Some digital cameras use to create a pixel interpolation method to produce than the actual pixel multi-sensor images, or create images generated by digital zoom. .In fact, almost all of the image processing software to support one or more interpolation. .Aliasing enlarged image directly reflects the strength of interpolation image processor maturity. .</ P> <P> The following example is a 106 * 40 450% image magnification as the effect of: </ P> <P align=center> </ P> <P> closest to the principle of interpolation (Nearest Neighbor Interpolation .) </ P> <P> closest to the principle of interpolation is the simplest interpolation method, which is the nature of amplification pixels. .New image is the original image pixel color and location of the nearest pixel to create the pixel color. .If the original image enlarged 200%, one pixel will be enlarged into a (2 * 2) 4 and the original pixels of the same color pixels. .Most image browsing and editing software will use this enlarged digital image interpolation method, because it does not change the color of the original image information, and no anti-aliasing effect. .Similarly, in practice this method to enlarge the picture is not appropriate, because the interpolation will increase the visibility of jagged images. .</ P> <P align=center> </ P> <P> bilinear interpolation (Bilinear Interpolation) </ P> <P> in the bilinear interpolation, the new pixel value creation, is the original image .location in its vicinity (2 x -2) 4 are adjacent pixel value calculated by the weighted average. .The average algorithm put jagged effect, created an image with smooth edges, serrated difficult to detect. .</ P> <P align=center> </ P> <P> bi-cubic interpolation (Bicubic interpolation) </ P> <P> bi-cubic interpolation is a more complex interpolation methods, it can create more than double .linear interpolation smoother edges. .The reader is aware of the eyelashes under the part of the figure, in this place, the software created by bi-cubic interpolation of a pixel, and this pixel value is determined by its nearby (4 x 4) were derived from the neighboring pixel values ., and therefore higher precision. .Bicubic interpolation method is usually used in the part of the image processing software, printer drivers and digital cameras, the original image or the original image to zoom in some areas. .Adobe Photoshop CS offers a more user double-cubic interpolation of two different methods: bicubic interpolation bicubic interpolation smoothing and sharpening. .</ P> <P align=center> </ P> <P> bi-cubic interpolation </ P> <P align=center> </ P> <P align=center> (1) bi-cubic interpolation smoothing (2 .) ordinary two-cubic interpolation (3) bi-cubic interpolation sharpening </ P> <P> fractal interpolation (Fractal interpolation) </ P> <P> fractal interpolation is often used in image magnification is .Great situation (such as to produce a substantial print). .It enables enlarged image in terms of shape, edge and color, closer to the original image, and reduce the blurring of photos, better than bicubic interpolation method even better. .The figure on the reader can compare the above picture, you know interpolation fractal of the advantages of: </ P> <P align=center> </ P> <P>, of course, in addition to the four interpolation methods but .There are other interpolation methods. .However, other interpolation methods are not commonly used, but they require more complex and sophisticated image processing (enlarge) technical support. .As non-professionals, we can not have these technologies..