RECONSTRUCTION OF ORIGINAL TOUCH IMAGE FROM DIFFERENTIAL TOUCH IMAGE
First Claim
1. A method for reconstructing a first image from a second image comprising:
- capturing the second image on a touch sensitive device;
aligning columns of image data in the second image with each other; and
aligning the column-aligned image data with a baseline value of the first image to reconstruct the first image.
1 Assignment
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Accused Products
Abstract
Reconstruction of an original touch image from a differential touch image is disclosed. Reconstruction can include aligning columns of the differential touch image relative to each other and aligning the image to a baseline DC value. The column and baseline alignment can be based on the differential image data indicative of no touch or hover, because such data can more clearly show the amount of alignment needed to reconstruct the original image. The reconstruction can be performed using the differential image data alone. The reconstruction can also be performed using the differential image data and common mode data indicative of the missing image column average.
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Citations
25 Claims
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1. A method for reconstructing a first image from a second image comprising:
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capturing the second image on a touch sensitive device; aligning columns of image data in the second image with each other; and aligning the column-aligned image data with a baseline value of the first image to reconstruct the first image. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. A method for reconstructing an original touch image from a differential touch image comprising:
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capturing the differential touch image at a touch sensitive device; performing a column alignment to align columns of the differential touch image with each other; and performing a baseline alignment to align the column-aligned differential touch image with a baseline value of the original touch image, resulting in the reconstructed original touch image. - View Dependent Claims (12, 13, 14)
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15. A method for reconstructing an original touch image from a differential touch image, comprising:
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capturing the differential touch image at a touch sensitive device; capturing common mode data at the device; performing a column alignment to align columns of the differential touch image to each other based on the captured common mode data; and performing a baseline alignment to align the column-aligned differential touch image with a baseline value of the original touch image based on the captured common mode data, resulting in the reconstructed original touch image. - View Dependent Claims (16, 17)
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18. A method for reconstructing an original touch image from a differential touch image, comprising:
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capturing the differential touch image at a touch sensitive device; capturing common mode data at the device; weighting the captured common mode data; performing a column alignment to align columns of the differential touch image to each other based on the weighing; and performing a baseline alignment to align the column-aligned differential touch image with a baseline value of the original touch image based on the weighting, resulting in the reconstructed original touch image. - View Dependent Claims (19, 20)
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21. A method for reconstructing an original touch image from a differential touch image, comprising:
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capturing the differential touch image at a touch sensitive device; calculating a parameter associated with at least some column data of the differential touch image; and applying the parameter to the differential touch image to reconstruct the original touch image. - View Dependent Claims (22)
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23. A touch sensitive device comprising:
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a touch panel capable of sensing a proximate object; scan logic couplable to the touch panel and capable of performing a scan of the touch panel so as to capture a first touch image; and a processor capable of reconstructing a second touch image from the first touch image, the reconstructing including; calculating first alignments for portions of the first touch image, each portion having a different first alignment, aligning the portions with each other according to the first alignments to form an aligned first image, calculating a second alignment for the aligned first image, and aligning the aligned first image according to the second alignment to meet a baseline value of the second touch image so as to form the reconstructed second touch image. - View Dependent Claims (24, 25)
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Specification