# US 10,375,337 B2 · Method controlling image sensor parameters

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- Number: US 10,375,337 B2
- Document ID: US10375337B2
- Status: Granted
- Kind: B2
- Application number: 15/273,049
- Filed: 2016-09-22
- Published: 2017-03-30
- Granted: 2019-08-06
- Earliest claimed: 2015-09-25
- Assignees: Samsung Electronics Co., Ltd.
- Applicants: Samsung Electronics Co., Ltd.
- Inventors: Ha Young Ko; Yo Hwan Noh; Chae Sung Kim
- Web page: https://patentgrep.com/patent/US10375337B2

## CPC

- G06T 5/90: Dynamic range modification of images or parts thereof
- G06F 18/22: Matching criteria, e.g. proximity measures
- G06T 5/50: using two or more images, e.g. averaging or subtraction
- G06V 10/141: Control of illumination
- H04N 13/133: Equalising the characteristics of different image components, e.g. their average brightness or colour balance
- H04N 23/45: for generating image signals from two or more image sensors being of different type or operating in different modes, e.g. with a CMOS sensor for moving images in combination with a charge-coupled device [CCD] for still images
- H04N 23/71: Circuitry for evaluating the brightness variation
- H04N 23/72: Combination of two or more compensation controls
- G06T 2207/20021: Dividing image into blocks, subimages or windows
- G06T: IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06F: ELECTRIC DIGITAL DATA PROCESSING (computer systems based on specific computational models G06N)
- G06V: IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- H04N: PICTORIAL COMMUNICATION, e.g. TELEVISION

## Abstract

A method of controlling parameters for image sensors includes; receiving a first image and a second image, calculating first feature values related to the first image and second feature values related to the second image; generating comparison results by comparing the first feature values of fixed regions and first variable regions of the first image with the second feature values of fixed regions and first variable regions of the second image, and controlling at least one parameter on the basis of the comparison results.

## Claims

### Claim 1

A method of controlling parameters of a plurality of image sensors, the method comprising:
receiving a first image generated by a first image sensor in response to first parameters, and a second image generated by a second image sensor in response to second parameters;
calculating first feature values related to the first image, and second feature values related to the second image;
generating first comparison results by comparing the first feature values of fixed-size regions of the first image with the second feature values of fixed-size regions of the second image and comparing the first feature values of variable-size regions of the first image with the second feature values of variable-size regions of the second image, wherein the fixed-size regions are obtained by dividing a specific region for each of the first image and the second image equally according to a preset size and the variable-size regions are regions of different sizes contained in the specific region for each of the first image and the second image;
controlling at least one parameter among the first parameters and the second parameters on a basis of the first comparison results;
calculating third feature values related to the first image and fourth feature values related to the second image,
wherein the generating of the first comparison results comprises generating second comparison results by comparing the third feature values of the first image with the fourth feature values of the second image.

### Claim 2 (depends on 1)

The method of claim 1, wherein the first feature values are luminance values of the first image, and the second feature values are luminance values of the second image.

### Claim 3 (depends on 2)

The method of claim 2, wherein:
the third feature values comprise at least one of saturation values, signal-to-noise ratio (SNR) values, and detail values associated with the luminance values of the first image, and
the fourth feature values comprise at least one of saturation values, SNR values, and detail values associated with the luminance values of the second image.

### Claim 4 (depends on 1)

The method of claim 1, wherein the generating of the first comparison results comprises comparing a first representative value of the first feature values of the fixed-size regions of the first image with a second representative value of the second feature values of the fixed-sized regions of the second image and comparing a third representative value of the first feature values of the variable-size regions of the first image with a fourth representative value of the second feature values of the variable-size regions of the second image.

### Claim 5 (depends on 1)

The method of claim 1, wherein the controlling of the at least one parameter among the first parameters and the second parameters comprises setting first target luminance values as luminance values of images to be generated by the first image sensor, and setting second target luminance values as luminance values of images to be generated by the second image sensor based on the first comparison results.

### Claim 6 (depends on 5)

The method of claim 5, wherein the first target luminance values and the second target luminance values are respectively set to a first reference luminance value when the first target luminance values and the second target luminance values are the same, and to second reference luminance values when the first target luminance values and the second target luminance values are different from each other.

### Claim 7 (depends on 1)

The method of claim 1, wherein the first parameters comprise at least one of an analog gain parameter and an exposure time parameter for the first image sensor, and
the second parameters comprise at least one of an analog gain parameter and an exposure time parameter for the second image sensor.

### Claim 8 (depends on 1)

The method of claim 1, wherein the calculating of the first feature values related to the first image and the second feature values related to the second image comprises:
generating a first corrected image by correcting the first image on a basis of characteristic information of the first image sensor, and a second corrected image by correcting the second image on a basis of characteristic information of the second image sensor; and
calculating first feature values of the first corrected image and second feature values of the second corrected image.