Methods and systems for reproducing a high resolution image from sample data
First Claim
Patent Images
1. A method of reproducing a high-resolution original image from a plurality of low-resolution image data sets, comprising the steps of:
- a) sampling an original image at a predetermined sampling resolution for a predetermined number of times so as to compile a predetermined number of the low-resolution image data sets, each of said sampled image data sets representing said original image at parallel displacement positions;
b) substantially eliminating fold-over aliasing noises caused by sampling the low-resolution image data sets during said step a), said step b) further comprising additional steps of;
h) for each sampled image data set, summing terms involving a product of each of said fold-over aliasing noises and a corresponding weight value;
i) adjusting said weight value so as to cancel said terms involving said fold-over aliasing noises with each other; and
c) reproducing the original image at least at an original resolution from the low-resolution image data sets after said step b).
1 Assignment
0 Petitions
Accused Products
Abstract
The current invention discloses methods of and systems for reproducing an original two dimensional image from data sampled at a low resolution. The data is sampled at the same frequency but at parallel displacement positions. The current invention discloses methods of and systems for substantially eliminating fold-over alias noises from the sampled data so that a high-resolution image is reproduced.
95 Citations
33 Claims
-
1. A method of reproducing a high-resolution original image from a plurality of low-resolution image data sets, comprising the steps of:
-
a) sampling an original image at a predetermined sampling resolution for a predetermined number of times so as to compile a predetermined number of the low-resolution image data sets, each of said sampled image data sets representing said original image at parallel displacement positions; b) substantially eliminating fold-over aliasing noises caused by sampling the low-resolution image data sets during said step a), said step b) further comprising additional steps of; h) for each sampled image data set, summing terms involving a product of each of said fold-over aliasing noises and a corresponding weight value; i) adjusting said weight value so as to cancel said terms involving said fold-over aliasing noises with each other; and c) reproducing the original image at least at an original resolution from the low-resolution image data sets after said step b). - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16)
-
-
17. A system for reproducing a high-resolution original image from a plurality of low-resolution image data sets, comprising:
-
a sampling unit for sampling an original image at a predetermined sampling resolution for a predetermined number of times so as to compile a predetermined number of the low-resolution image data sets, each of said sampled image data sets representing said original image at parallel displacement positions; a low pass filter connected to said sampling unit for filtering out a certain portion of said sampled data; a processing unit connected to said low pass filter for substantially eliminating fold-over aliasing noises caused in said sampled image data sets by said sampling unit, said processing unit further comprising; a weight determination unit for determining a weight value so as to cancel terms involving a product of each of said fold-over aliasing noises and said weight value; and a summation unit connected to said weight determination unit for summing said terms involving said product of each of said fold-over aliasing noises and said weight value, said fold-over aliasing noises being mutually canceled by placing said weights on said fold-over aliasing noises according to said parallel displacement positions; and a reproduction unit connected to said processing unit for reproducing the original image at least at an original resolution from the low-resolution image data sets. - View Dependent Claims (18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33)
-
Specification