Image distortion correction method and image distortion correction device using the same
First Claim
1. An image distortion correction method, comprising steps of:
- (1) providing a standard picture and a target image, wherein the standard picture has plural standard points, and the target image has plural target points corresponding to the plural standard points;
(2) providing a position coordinate of each standard point and a first direction coordinate change amount which is between each standard point and the corresponding target point to a neural network model so as to train and obtain a first direction parameter group of the neural network model, and providing the position coordinate of each standard point and a second direction coordinate change amount which is between each standard point and the corresponding target point to the neural network model so as to train and obtain a second direction parameter group of the neural network model; and
(3 ) performing a correcting process to correct distortion of an original image by the neural network model according to the first direction parameter group and the second direction parameter group of the neural network model, so that a correction image is obtained.
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Accused Products
Abstract
An image distortion correction method and an image distortion correction device are provided. The image distortion correction method uses a neural network model to perform a correcting operation on an original image so as to obtain a correction image with plural correction points. Firstly, a position coordinate of the correction point is inputted into the neural network model, so that a first direction coordinate correction amount is outputted from the neural network model. Then, the position coordinate of the correction point is inputted into the neural network model, so that a second direction coordinate correction amount is outputted from the neural network model. Afterwards, a pixel value of the original image corresponding to the first direction coordinate correction amount and the second direction coordinate correction amount is used as a pixel value of the correction point.
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Citations
45 Claims
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1. An image distortion correction method, comprising steps of:
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(1) providing a standard picture and a target image, wherein the standard picture has plural standard points, and the target image has plural target points corresponding to the plural standard points; (2) providing a position coordinate of each standard point and a first direction coordinate change amount which is between each standard point and the corresponding target point to a neural network model so as to train and obtain a first direction parameter group of the neural network model, and providing the position coordinate of each standard point and a second direction coordinate change amount which is between each standard point and the corresponding target point to the neural network model so as to train and obtain a second direction parameter group of the neural network model; and (3 ) performing a correcting process to correct distortion of an original image by the neural network model according to the first direction parameter group and the second direction parameter group of the neural network model, so that a correction image is obtained. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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8. An image distortion correction method for using a neural network model to perform a correcting operation on an original image so as to obtain a correction image with at least one correction point, the image distortion correction method comprising steps of:
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(1) inputting a position coordinate of the at least one correction point into the neural network model so as to allow the neural network model to output a first direction correction point parameter, and inputting the position coordinate of the at least one correction point into the neural network model so as to allow the neural network model to output a second direction correction point parameter; and (2) using a pixel value of the original image corresponding to the first direction correction point parameter and the second direction correction point parameter as a pixel value of the at least one correction point. - View Dependent Claims (9, 10, 11, 12, 13, 14)
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15. An image distortion correction method for using a neural network model to perform a correcting operation on an original image so as to obtain a correction image with at least one correction point, the image distortion correction method comprising steps of:
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(1) inputting a position coordinate of the at least one correction point into the neural network model so as to allow the neural network model to output a coordinate correction amount, and performing an arithmetic operation on the coordinate correction amount and the position coordinate of the at least one correction point so as to obtain an arithmetic coordinate; and (2) using a pixel value of the original image corresponding to the arithmetic coordinate as a pixel value of the at least one correction point. - View Dependent Claims (16, 17, 18, 19, 20, 21)
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22. An image distortion correction device for performing a correcting operation on an original image so as to obtain a correction image with plural correction points, the image distortion correction device comprising:
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a data storage and control unit for obtaining a position coordinate of each correction point, a first direction parameter group and a second direction parameter group; a neural network computing unit connected with the data storage and control unit for generating and outputting a first direction correction point parameter of each correction point according to the position coordinate of each correction point and the first direction parameter group, and generating and outputting a second direction correction point parameter of each correction point according to the position coordinate of each correction point and the second direction parameter group; and a pixel value computing unit connected with the neural network computing unit for obtaining a pixel value of each correction point from the original image according to the first direction correction point parameter and the second direction correction point parameter of each correction point. - View Dependent Claims (23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33)
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34. An image distortion correction device for performing a correcting operation on an original image so as to obtain a correction image with plural correction points, the image distortion correction device comprising:
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a data storage and control unit for obtaining a position coordinate of each correction point and a direction parameter group; a neural network computing unit connected with the data storage and control unit for generating and outputting a coordinate correction amount of each correction point according to the position coordinate of each correction point and the direction parameter group; an arithmetic computing unit connected with the neural network computing unit for performing an arithmetic operation on the position coordinate of each correction point and the corresponding coordinate correction amount, thereby obtaining an arithmetic coordinate of each correction point; and a pixel value computing unit connected with the arithmetic computing unit for obtaining a pixel value of each correction point from the original image according to the arithmetic coordinate. - View Dependent Claims (35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45)
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Specification