# US 2014/0192222 A1 · White balance adjusting method with scene detection and device thereof

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- Number: US 2014/0192222 A1
- Document ID: US20140192222A1
- Status: Published application
- Kind: A1
- Application number: 14/069,132
- Filed: 2013-10-31
- Published: 2014-07-10
- Earliest claimed: 2013-01-10
- Assignees: Realtek Semiconductor Corp.
- Applicants: Realtek Semiconductor Corporation
- Inventors: SHIH-TSE CHEN; YING-LIANG CHOU
- Web page: https://patentgrep.com/patent/US20140192222A1

## CPC

- H04N 23/88: for colour balance, e.g. white-balance circuits or colour temperature control
- G06T 7/90: Determination of colour characteristics
- H04N 23/70: Circuitry for compensating brightness variation in the scene
- H04N 23/74: by influencing the scene brightness using illuminating means
- H04N 25/134: {based on three different wavelength filter elements}
- H04N: PICTORIAL COMMUNICATION, e.g. TELEVISION
- G06T: IMAGE DATA PROCESSING OR GENERATION, IN GENERAL

## Abstract

A white balance adjusting method with scene detection comprises: receiving source image data corresponding to a plurality of sensing units; generating an initial white balance gain according to the source image data; generating an image parameter corresponding to a plurality of parameter elements according to the source image data; determining whether a preset condition is satisfied according to the image parameter to generate a decision result; determining whether the source image data are associated with any of built-in scenes according to the decision result in which the built-in scenes include a first scene in connection with a first-scene adjustment rule; and if the source image data are associated with the first scene, adjusting the initial white balance gain or processing the source image data according to the first-scene adjustment rule to thereby obtain a scenic white balance gain and adjust the source image data with it.

## Claims

### Claim 1

A white balance adjusting method with scene detection carried out by a white balance adjusting device, comprising:
receiving source image data corresponding to a plurality of sensing units;
generating an initial white balance gain according to the source image data;
generating at least one image parameter corresponding to a plurality of parameter elements according to the source image data;
determining whether at least one preset condition is satisfied according to the at least one image parameter, and thereby generating a decision result;
determining whether the source image data are associated with any of built-in scenes and/or an association between the source image data and the built-in scenes according to the decision result in which the built-in scenes include a first scene in connection with a first-scene adjustment rule; and
if the source image data are associated with the first scene, adjusting the initial white balance gain or processing the source image data according to the first-scene adjustment rule to thereby obtain a scenic white balance gain and adjust the source image data with the scenic white balance gain.

### Claim 2 (depends on 1)

The white balance adjusting method with scene detection of claim 1, further comprising:
acquiring at least one image capture parameter,
wherein the step of determining whether the source image data are associated with any of the built-in scenes and/or the association includes: determining whether the source image data are associated with any of the built-in scenes and/or the association according to the image capture parameter and the decision result.

### Claim 3 (depends on 2)

The white balance adjusting method with scene detection of claim 2, wherein the image capture parameter includes an exposure time parameter and/or an exposure gain parameter.

### Claim 4 (depends on 3)

The white balance adjusting method with scene detection of claim 3, wherein the step of determining whether the source image data are associated any of the built-in scenes and/or the association according to the image capture parameter and the decision result includes:
generating a product of the exposure time parameter and the exposure gain parameter; and
determining whether the source image data are associated with any of the built-in scenes and/or the association according to the product and the decision result.

### Claim 5 (depends on 1)

The white balance adjusting method with scene detection of claim 1, wherein the number of the parameter elements is less than the number of the sensing units.

### Claim 6 (depends on 5)

The white balance adjusting method with scene detection of claim 5, wherein the number of the parameter elements is 1/K times the number of the sensing units in which the K is a positive multiple of 4 or a value to the power of 4.

### Claim 7 (depends on 1)

The white balance adjusting method with scene detection of claim 1, wherein the at least one image parameter includes at least one of a brightness parameter, a chrominance parameter and a texture parameter.

### Claim 8 (depends on 7)

The white balance adjusting method with scene detection of claim 7, wherein the step of generating the decision result includes:
determining whether an element number or a percentage of the parameter elements in compliance with a predetermined color is higher than a predetermined threshold according to the chrominance parameter to thereby generate a chrominance decision result;
determining whether an average or weighted brightness value of the parameter elements in compliance with the predetermined color is higher or lower than a predetermined brightness value according to the brightness parameter to thereby generate a brightness decision result; and
generating the decision result according to the chrominance decision result and the brightness decision result.

### Claim 9 (depends on 8)

The white balance adjusting method with scene detection of claim 8, wherein the step of generating the chrominance decision result further includes:
determining whether a centralization percentage of the parameter elements of the predetermined color lying within a predetermined area is higher than a predetermined percentage to thereby generate the chrominance decision result.

### Claim 10 (depends on 7)

The white balance adjusting method with scene detection of claim 7, wherein the step of generating the decision result includes:
determining whether an element number or a percentage of the parameter elements in compliance with a predetermined color is higher than a predetermined threshold according to the chrominance parameter to thereby generate a chrominance decision result;
determining whether an average or weighted texture value of the parameter elements in compliance with the predetermined color is higher than a predetermined texture value according to the texture parameter to thereby generate a texture decision result; and
generating the decision result according to the chrominance decision result and the texture decision result.

### Claim 11 (depends on 7)

The white balance adjusting method with scene detection of claim 7, wherein the step of generating the decision result includes:
determining whether an element number or a percentage of the parameter elements in compliance with a predetermined color is higher than a predetermined threshold according to the chrominance parameter to thereby generate a chrominance decision result;
determining whether the difference between a first average or weighted brightness value of the parameter elements lying within a first area and a second average or weighted brightness value of the parameter elements lying within a second area is higher than a predetermined brightness difference according to the brightness parameter to thereby generate a brightness difference decision result; and
generating the decision result according to the chrominance decision result and the brightness difference decision result.

### Claim 12 (depends on 1)

The white balance adjusting method with scene detection of claim 1, further comprising:
if the source image data are associated to none of the built-in scenes, adjusting the source image data with the initial white balance gain.

### Claim 13

A white balance adjusting device with scene detection, comprising:
a data input interface to receive source image data from an image capture unit in which the source image data include a plurality of sensing units;
a white balance calculating unit, coupled to the data input interface, to generate an initial white balance gain according to the source image data;
an image parameter calculating unit, coupled to the data input interface, to generate at least one image parameter corresponding to a plurality of parameter elements according to the source image data;
a decision unit, coupled to the image parameter calculating unit, to determine whether at least one preset condition is satisfied based on the at least one image parameter and accordingly generate a decision result; and
a scene determining unit, coupled to the decision unit and the white balance calculating unit, to determine whether the source image data are associated to any of built-in scenes and/or an association between the source image data and the built-in scenes according to the decision result in which the built-in scenes include a first scene in connection with a first-scene adjustment rule,
wherein if the source image data are associated with the first scene, adjusting the initial white balance gain or processing the source image data according to the first-scene adjustment rule to thereby obtain a scenic white balance gain and adjust the source image data with the scenic white balance gain.

### Claim 14 (depends on 13)

The white balance adjusting device with scene detection of claim 13, wherein the scene determining unit is coupled to the data input interface to acquire at least one image capture parameter and accordingly determine whether the source image data are associated to any of the built-in scenes and/or the association according to the image capture parameter and the decision result.

### Claim 15 (depends on 13)

The white balance adjusting device with scene detection of claim 13, wherein the number of the parameter elements is 1/K times the number of the sensing units in which the K is a positive multiple of four or a value to the power of four.

### Claim 16 (depends on 13)

The white balance adjusting device with scene detection of claim 13, wherein the at least one image parameter includes at least one of a brightness parameter, a chrominance parameter and a texture parameter.

### Claim 17 (depends on 16)

The white balance adjusting device with scene detection of claim 16, wherein the decision unit executes at least the following steps:
determining whether an element number or a percentage of the parameter elements in compliance with a predetermined color is higher than a predetermined threshold according to the chrominance parameter to thereby generate a chrominance decision result;
determining whether an average or weighted brightness value of the parameter elements in compliance with the predetermined color is higher or lower than a predetermined brightness value according to the brightness parameter to thereby generate a brightness decision result; and
generating the decision result according to the chrominance decision result and the brightness decision result.

### Claim 18 (depends on 17)

The white balance adjusting device with scene detection of claim 17, wherein the decision unit further executes at least the following step:
determining whether a centralization percentage of the parameter elements of the predetermined color lying within a predetermined area is higher than a predetermined percentage to thereby generate the chrominance decision result.

### Claim 19 (depends on 16)

The white balance adjusting device with scene detection of claim 16, wherein the decision unit executes at least the following steps:
determining whether an element number or a percentage of the parameter elements in compliance with a predetermined color is higher than a predetermined threshold according to the chrominance parameter to thereby generate a chrominance decision result;
determining whether an average or weighted texture value of the parameter elements in compliance with the predetermined color is higher than a predetermined texture value according to the texture parameter to thereby generate a texture decision result; and
generating the decision result according to the chrominance decision result and the texture decision result.

### Claim 20 (depends on 16)

The white balance adjusting device with scene detection of claim 16, wherein the decision unit executes at least the following steps:
determining whether an element number or a percentage of the parameter elements in compliance with a predetermined color is higher than a predetermined threshold according to the chrominance parameter to thereby generate a chrominance decision result;
determining whether the difference between a first average or weighted brightness value of the parameter elements lying within a first area and a second average or weighted brightness value of the parameter elements lying within a second area is higher than a predetermined brightness difference according to the brightness parameter to thereby generate a brightness difference decision result; and
generating the decision result according to the chrominance decision result and the brightness difference decision result.
