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IFR Proof of Concept 
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The test patterns that follow demonstrate IFR's ability to sequence across an entire picture, while converting raster to vector without any loss. Other raster to vector converters can only sequence across a few pixels, usually about three. 

Our tests include running a vector rendering program on our vector data to verify its quality. A significant rendering test is the process of changing the resolution of the picture. Subsequently, it is possible to trace along the border to see if the border is continuous and fluid. As shown by the images below, IFR converts all of the test patterns with no discontinuities. In comparison, the closest competitor has about 100 discontinuities. We are further able to test our vector quality by running the vector data through a resolution enhancement program that produces the resulting test patterns illustrated in the right column below.

Test Pattern 1
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Test Pattern 4
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Test Pattern 7
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IFR takes no shortcuts. All combinations of sequences are taken into account. This offers a completely different paradigm to approach the raster to vector conversion problem. Flight provides a good analogy. Without an airplane, a person's time in the air is limited by the length of a jump; but with powered flight, the time in the air is instead limited by the amount of fuel.

Other technologies are limited to the ability to sequence over a few dots because they do not prepare the data while considering every possibility. IFR's raster to vector conversion is able to accomplish its global sequencing because the developers of IFR have spent many years searching, defining, and cataloging all possibilities. This research has resulted in the new paradigm technology called IFR.

Test pattern 9 demonstrates that IFR exceeds human ability in some areas. In other words, it is becoming possible for a machine to see things in a picture that humans cannot see. 

How many lines do you see in the Test Pattern 9 picture? Most people see five diagonal lines but there are actually eight. Three of the five apparent lines are actually two lines in one, making a total of eight lines.
 

Test Pattern 9
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IFR determines that there are eight lines in Test Pattern 9. It locates the slopes of long lines by placing two points along the lines. The slope that IFR determines does not violate any coarse pixels. IFR also determines the beginning and the ending of each line. 

IFR is fast. It determines the lines, slopes, and extremities of Test Pattern 9 in a single pass and without any iteration! Remember that IFR accounts for all possibilities before it starts to process the data.

Although humans perform raster to vector conversion effortlessly and on the fly, the human eye can not detect the slight grade differences that make a significant difference in the quality of resolution enhancement. IFR technology reads the vector data and correctly defines the image more accurately, thereby allowing for lossless conversion and fantastic resolution enhancement. 
 
Test Pattern 2 
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Test Pattern 3
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Test Pattern 5
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Test Pattern 6
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Test Pattern 10
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Test Pattern 11
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