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Method, apparatus and electronic device for calibrating images
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An image and original image technology, applied in the field of electronics, can solve the problems of inconsistent fingerprint sensor response, affecting the quality of fingerprint images, penetrating obstacles and other problems, achieving high fingerprint recognition performance, avoiding impact, and improving accuracy.
Active Publication Date: 2022-05-17
SHENZHEN GOODIX TECH CO LTD
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[0003] However, due to the inhomogeneity of the obstacle stack, the signal carrier carrying the fingerprint information will be interfered when it penetrates the obstacle.
In addition, due to factors such as the inhomogeneity of the signal source and the inconsistency of the fingerprint sensor response, the quality of the fingerprint image will be further affected.
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Embodiment 1
[0147] In the embodiment of the present application, the electronic device may determine the first calibration parameter according to the following iterative learning formula:
[0149] Wherein, the Klm(i+1) represents the calibration parameter obtained after the iterative learning of the i+1 original image, and the T(i+1) represents the iterative learning of the i+1 original image The weight value of the calibration parameter acquired afterward, the FP represents the pixel value of the i+1 th original image, and the uFP represents the average value of the pixel values of the i+1 th original image.
[0150]After the electronic device obtains the first calibration parameter, it calibrates the target image according to the following calibration formula and the first calibration parameter, so as to obtain the calibration image:
[0151] CaliFP = FP / Klm, and / or
[0152] CaliFP = FP-uFP*Klm;
[0153] Wherein, the CaliFP represe...
Embodiment 2
[0197] In the embodiment of the present application, the electronic device may determine the first calibration parameter according to the following iterative learning formula:
[0198] Blm(i+1)=(1-T(i+1))*Blm(i)+T(i+1)*FP;
[0199] Wherein, the Blm(i+1) represents the calibration parameter obtained after the iterative learning of the i+1 original image, and the T(i+1) represents the iterative learning of the i+1 original image The weight value of the calibration parameter obtained after , and the FP represents the pixel value of the i-th original image.
[0200] After the electronic device obtains the first calibration parameter, it may calibrate the target image according to the following calibration formula and the first calibration parameter, so as to obtain the calibration image:
[0201] CaliFP = FP / Klm, and / or
[0202] CaliFP = FP-Blm;
[0203] Wherein, the CaliFP represents the correction value of the pixel value of the i+1th original image.
[0204] Similar to Embo...
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Abstract
Provided is a method, device and electronic equipment for calibrating images, the method comprising: determining the first calibration parameter through iterative learning of n original images; wherein, the i+1th original image in the n original images The calibration parameters obtained after the image undergoes iterative learning are parameters determined according to the calibration parameters obtained after iterative learning of the i-th original image in the n original images and the pixel values of the i+1-th original image, the first The calibration parameter is the calibration parameter of the nth original image in the n original images after iterative learning, n is the first preset value and is a positive integer, 1≤i≤n; based on the first calibration parameter, the target image to calibrate. In the embodiment of the present application, the calibration parameters used to calibrate the fingerprint image can be updated by continuously learning the original image in the user application process without relying on or relying on a small amount of prior information, which can not only simplify the operation process, but also effectively improve the calibration accuracy .
Description
technical field [0001] The embodiments of the present application relate to the field of electronics, and more specifically, to a method, device and electronic equipment for calibrating images. Background technique [0002] In response to increasingly stringent market demands, various capacitive, optical, ultrasonic and other fingerprint identification schemes have emerged as the times require. Among them, some solutions need to expose the fingerprint sensor (Sensor) on the surface of the electronic device, and another part of the solution can place the fingerprint sensor inside the electronic device. After the signal carrier sent by the signal source (which can refer to electrical signal, light source or ultrasonic generator, etc.) reaches the finger, the signal carrier carrying the fingerprint information can penetrate obstacles to reach the surface of the fingerprint sensor, and the fingerprint sensor can The signal carrier of the information performs fingerprint imaging...
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Application Information
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