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Example of a deconvolved microscope image. In optics and imaging, the term "deconvolution" is specifically used to refer to the process of reversing the optical distortion that takes place in an optical microscope , electron microscope , telescope , or other imaging instrument, thus creating clearer images.
ImageJ supports image stacks, a series of images that share a single window, and it is multithreaded, so time-consuming operations can be performed in parallel on multi-CPU hardware. ImageJ can calculate area and pixel value statistics of user-defined selections and intensity-thresholded objects.
While this process is sometimes known as unblurring, deblurring is the correct technical word. The blur K is typically modeled as point spread function and is convolved with a hypothetical sharp image S to get B, where both the S (which is to be recovered) and the point spread function K are unknown. This is an example of an inverse problem.
Examples. Any blurred image can be given as input to blind deconvolution algorithm, it can deblur the image, but essential condition for working of this algorithm must not be violated as discussed above. In the first example (picture of shapes), recovered image was very fine, exactly similar to original image because L > K + N.
In some object-oriented programming languages such as C# and Java, reflection can be used to bypass member accessibility rules. For C#-properties this can be achieved by writing directly onto the (usually invisible) backing field of a non-public property. It is also possible to find non-public methods of classes and types and manually invoke them.
In this example, the binary image has been split into two component images. Each component image has a pair of pixels for every pixel in the original image. These pixel pairs are shaded black or white according to the following rule: if the original image pixel was black, the pixel pairs in the component images must be complementary; randomly ...
Integral image application example: Image title: Example of the use of an integral image (2) of an order-6 magic square (1) to find the sum of a subrectangle of values by CMG Lee. Each spot shows the sum of the values inside the rectangle bounded by dashed/dotted lines of the same colour. Width: 100%: Height: 100%
Java Advanced Imaging (JAI) is a Java platform extension API which allows developers to create their own image manipulation routines. JAI is provided as a free download directly from Oracle Corporation for the Windows, Solaris, and Linux platforms. Apple Inc. provides an OS X version of the API from their website for Mac OS X v10.3.