CN114222098B - Gamma curve adjusting method and equipment for projection equipment - Google Patents

Gamma curve adjusting method and equipment for projection equipment Download PDF

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Publication number
CN114222098B
CN114222098B CN202111506844.XA CN202111506844A CN114222098B CN 114222098 B CN114222098 B CN 114222098B CN 202111506844 A CN202111506844 A CN 202111506844A CN 114222098 B CN114222098 B CN 114222098B
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type
compensation value
gamma
color temperature
ambient light
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CN114222098A (en
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潘克
曹山
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Fengmi Beijing Technology Co ltd
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Fengmi Beijing Technology Co ltd
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N9/00Details of colour television systems
    • H04N9/12Picture reproducers
    • H04N9/31Projection devices for colour picture display, e.g. using electronic spatial light modulators [ESLM]
    • H04N9/3179Video signal processing therefor
    • H04N9/3182Colour adjustment, e.g. white balance, shading or gamut
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N9/00Details of colour television systems
    • H04N9/12Picture reproducers
    • H04N9/31Projection devices for colour picture display, e.g. using electronic spatial light modulators [ESLM]
    • H04N9/3179Video signal processing therefor

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  • Engineering & Computer Science (AREA)
  • Multimedia (AREA)
  • Signal Processing (AREA)
  • Processing Of Color Television Signals (AREA)
  • Controls And Circuits For Display Device (AREA)

Abstract

The invention relates to the technical field of projection, and discloses a method and equipment for adjusting a gamma curve of projection equipment, wherein the method comprises the following steps: acquiring ambient light data of a current projection scene, and determining a first compensation value according to the ambient light data; acquiring reflection surface data of a current projection curtain, and determining a second compensation value according to the reflection surface data; determining a third compensation value according to the ambient light data and the reflection surface data; identifying the type of the currently projected image content according to the input signal, and determining a gamma value according to the type of the image content; and obtaining a target gamma curve according to the first compensation value, the second compensation value, the third compensation value and the gamma value. The invention provides a systematic and scenerized scheme for intelligently adapting the gamma curve for the user, achieves optimal display effect under different environments, different projection screens, different color temperatures and different projection image types without complicated operation and mastering professional background knowledge, and improves the overall visual ornamental experience of the user.

Description

Gamma curve adjusting method and equipment for projection equipment
Technical Field
The present invention relates to the field of projection technologies, and in particular, to a method and an apparatus for adjusting a gamma curve of a projection device.
Background
The projection device is a device capable of projecting an image or video onto a curtain for display, and is widely used in a home, an office, a school, a movie theater, or the like.
In the prior art, gamma (gamma) setting options of projection equipment are simply options which can be manually adjusted and provided for users, or are bound with image modes, and are manually switched according to different film sources or use scenes, so that the operation is complex, and an integrated convenient self-adaptive scheme is lacked.
Disclosure of Invention
The invention aims to solve the technical problems existing in the prior art and provides a gamma curve adjusting method and equipment for projection equipment.
In order to solve the above technical problems, an embodiment of the present invention provides a method for adjusting a gamma curve of a projection device, including: acquiring ambient light data of a current projection scene, and determining a first compensation value alpha according to the ambient light data; acquiring reflection surface data of a current projection curtain, and determining a second compensation value beta according to the reflection surface data; determining a third compensation value t according to the ambient light data and the reflection surface data; identifying the type of the currently projected image content according to an input signal, and determining a gamma value gamma according to the type of the image content; and obtaining a target gamma curve according to the first compensation value alpha, the second compensation value beta, the third compensation value t and the gamma value gamma.
In order to solve the above technical problem, an embodiment of the present invention further provides a projection device, including: a first sensor, a second sensor and a control device; the first sensor is used for acquiring ambient light data of a current projection scene, the second sensor is used for acquiring reflection surface data of the current projection scene, the control device is used for determining a first compensation value alpha according to the ambient light data, determining a second compensation value beta according to the reflection surface data and determining a third compensation value t according to the ambient light data and the reflection surface data; the control device is also used for identifying the type of the image content of the current projection according to the input signal and determining a gamma value gamma according to the type of the image content; and obtaining a target gamma curve according to the first compensation value alpha, the second compensation value beta, the third compensation value t and the gamma value gamma.
The beneficial effects of the invention are as follows: the projection equipment gamma curve adjustment method and the projection equipment provided by the invention provide a systematic and scenerized intelligent gamma curve adaptation scheme for users, can realize automatic matching of different ambient lights, different types of reflecting surfaces and different image content types, and particularly can carry out color temperature compensation according to different color temperatures of the ambient lights, so as to ensure the stability of the color temperature finally displayed; under the condition of no need of complicated operation and mastering professional background knowledge, the optimal display effect can be achieved under different environments and different projection screens and different image types, and the overall visual ornamental experience of a user is improved.
Additional aspects of the invention and advantages thereof will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
Drawings
FIG. 1 is a flowchart of a method for adjusting a gamma curve of a projection device according to an embodiment of the present invention;
fig. 2 is a block diagram of a projection device according to an embodiment of the present invention.
Detailed Description
The principles and features of the present invention are described below with reference to the drawings, the examples are illustrated for the purpose of illustrating the invention and are not to be construed as limiting the scope of the invention.
The generalized definition of Gamma value is the Gamma power exponent relation between input value and output value, and is used to compensate the non-linear perception of natural brightness by human eye.
Like display devices such as LCD and OLED, there is general gamma compensation in projection devices, but because of the difference in display modes (the former is self-luminous direct display and the latter is reflective display), projection devices are more sensitive to the material of the reflective surface projected and the size of ambient light, and are more susceptible to both, which can make the display effect significantly compromised. In addition, different scene modes need different gamma values, and the mode of manually setting the gamma options is complex in operation and poor in user experience.
Aiming at the problems that projection display equipment projects various screens, projection environment light is complex, projection content is various, and the imaging effect of projection products is more easily influenced by factors such as use conditions, environment and the like relative to display products such as LCD (liquid crystal display), OLED (organic light emitting diode) and the like, the embodiment of the invention provides a realization scheme capable of dynamically adjusting the gamma curve of the projection equipment according to projection reflection materials (screens, curtains and the like), the intensity of the environment light, image content and the like, the ornamental effect of the projection equipment is obviously improved, and better video watching experience is provided for users.
Fig. 1 is a flowchart of a method for adjusting a gamma curve of a projection device according to an embodiment of the present invention. As shown in fig. 1, the method includes:
s110, acquiring ambient light data of a current projection scene, and determining a first compensation value alpha according to the ambient light data.
In particular, the ambient light data may include ambient illuminance or brightness, etc., and the ambient light data of the current projection scene may be obtained by using a light sensor of the projection device itself. In the embodiment of the invention, the ambient illuminance of the current projection scene is obtained, and a first compensation value alpha matched with the ambient illuminance is searched in a first corresponding relation. In the first correspondence, the ambient light illuminance may be divided into a plurality of illuminance intervals, each illuminance interval corresponds to an illuminance level, and each illuminance level is given a first compensation value α. Such as illuminance levels may include: extremely dark environments, darker environments, normal environments, lighter environments, and extremely bright environments.
According to the visual characteristics of human eyes, the resolution of the human eyes on dark details is enhanced in a dark environment, at the moment, the data of dark part areas of an image are properly compressed, the data of bright parts are expanded, the resolution of the dark details is ensured, and meanwhile, a better bright part contrast ratio can be obtained, so that the visual contrast ratio of an overall picture is enhanced to a certain extent. On the contrary, in a brighter environment, the recognition degree of the dark detail picture is compressed due to the fact that the black potential is improved along with the ambient light, the contrast of a dark part area is properly expanded, and the resolution of dark details is enhanced.
The luminance value ranges of the different luminance levels and the corresponding first compensation values α may be as follows:
extremely dark environment: the illuminance range is 0-1lux, corresponding to alpha=1.0;
darker environment: the illuminance range is 1-10lux, corresponding to alpha=1.0-1.1;
normal environment: the illuminance range is 10-100lux, corresponding to alpha=1.1-1.2;
brighter environment: the illuminance range is 100-300lux, corresponding to alpha=1.2-1.3;
extremely bright environment: the illuminance range is greater than 300lux, corresponding to α=1.3-1.4.
The foregoing exemplary description is directed to the luminance value ranges of different luminance levels and the corresponding values of the first compensation values α, and it is understood that the number of luminance level divisions, the value range of each luminance level, and the value of the first compensation value α corresponding to each luminance level may be set according to actual situations, which is not specifically limited herein.
S120, obtaining the reflection surface data of the current projection curtain, and determining a second compensation value beta according to the reflection surface data. The projection curtain may be identified and analyzed using a TOF sensor, a CCD image sensor, an ultrasonic sensor, or other sensor. In the embodiment of the invention, the type of the reflecting surface and the gain value of the reflecting surface of the projection curtain are judged and identified by utilizing a TOF sensor of the projection device, and different second compensation values beta are endowed according to different grades.
Specifically, obtaining the reflection surface data of the current projection curtain, determining a second compensation value β according to the reflection surface data, including:
s121, obtaining reflection surface data of a current projection curtain, and determining a curtain type and reflection surface gain according to the reflection surface data;
s122, searching a curtain type compensation value beta matched with the curtain type in the second corresponding relation 1 Searching a reflection surface gain compensation value beta matched with the reflection surface gain in a third corresponding relation 2 The method comprises the steps of carrying out a first treatment on the surface of the Wherein the second corresponding relation comprises a plurality of curtain types, and each curtain type corresponds to a curtain type compensation value beta 1 The method comprises the steps of carrying out a first treatment on the surface of the The third corresponding relation comprises a plurality of gain sections, each gain section corresponds to a reflection surface gain compensation value beta 2
Specifically, in the second correspondence, the projection reflection surfaces are classified according to the curtain types, and different curtain type compensation values beta are given to the projection reflection surfaces of different curtain types 1 . For example, a common diffuse reflection curtain is marked as a class 1 curtain, and a light-resistant curtain (black grating, fresnel, etc.) is marked as a class 2 curtain.
The type 1 curtain has no black coating, and the value range of the compensation coefficient is beta 1 =0;
Because the type 2 curtain is provided with the black coating, the black coating has larger influence on the light of the low-brightness signal projected from the visual angle, so that the contrast of a dark part area needs to be properly expanded, and the value range of the compensation coefficient is beta 1 =0-0.4。
And the TOF sensor returns data to judge whether the reflecting surface is a common diffuse reflection curtain or an anti-light curtain type reflection curtain. Searching a curtain type compensation value beta matched with the curtain type in the second corresponding relation 1
In the third corresponding relation, the reflector gain is divided into a plurality of gain sections, and different reflector gain compensation values beta are given to the reflector gains of different gain sections 2 . For example, the gain can be divided into three gain sections, the gain value of the first section is 0-0.8, the second sectionThe interval gain value is 0.8-1.0, and the third interval gain value is larger than 1. According to the curtain with high gain, the bright part can be properly expanded, and the dark part is depressed to improve the visual contrast effect of the picture; according to the curtain with low gain, the gamma value can be properly not processed or properly reduced, so as to achieve the display effect of improving the average brightness of the whole picture.
The reflection surface data returned by the TOF sensor judges the gain value interval of the reflection surface, when the gain value is positioned in the first interval, the value range of the gain compensation value of the reflection surface is beta 2 -0.5-0; when the gain value is in the second interval, the range of the gain compensation value of the reflecting surface is beta 2 =0; when the gain value is in the third interval, the range of the gain compensation value of the reflecting surface is beta 2 =0-0.5。
S123, compensating the curtain type with the compensation value beta 1 And a reflection surface gain compensation value beta 2 As said second compensation value beta. The calculation formula of the second compensation value beta is as follows: beta=beta 12
S130, determining a third compensation value t according to the ambient light data and the reflection surface data;
s131, when the ambient light data meets a preset illuminance condition and the curtain type is determined to be a preset type according to the reflection surface data, determining that color temperature compensation is effective; otherwise, the color temperature compensation is not validated, and the third compensation value t=1 is defaulted when the color temperature compensation is not validated.
The color temperature compensation effective conditions are as follows:
a. and determining the curtain type as 1 type according to the reflection surface data. The type 1 curtain is a common diffuse reflection curtain without a black coating;
b. the ambient illuminance is above the normal ambient light level, i.e. above 10 lux.
That is, when the curtain type is a normal diffuse reflection curtain (class 1 curtain) and the ambient illuminance is above the normal ambient light level, it is determined that the color temperature compensation is effective. When the curtain type is an unusual diffuse reflection curtain (class 1 curtain) and/or the ambient light illuminance is below the normal ambient light level, it is determined that the color temperature compensation is not effective. If the curtain type is a light-resistant type curtain (class 2 curtain), the color temperature compensation is not effective, or when the ambient illuminance is below the normal ambient light level, i.e. less than 10lux, the color temperature compensation is not effective.
And S132, when the color temperature compensation is effective, processing the ambient light data to obtain a correlated color temperature value CCT, and searching a color temperature compensation gain coefficient c matched with the correlated color temperature value in a fourth corresponding relation, wherein the fourth corresponding relation comprises a plurality of correlated color temperature value intervals, and each correlated color temperature value interval corresponds to one color temperature compensation gain coefficient c.
Processing the ambient light data to obtain a correlated color temperature value CCT, including:
s1321, carrying out statistical analysis on the ambient light data to obtain red, green and blue occupation ratios X, Y and Z of the ambient light;
s1322, determining the color temperature coordinates x and y of the current environment according to the red, green and blue occupation ratios X, Y and Z of the ambient light;
s1323, obtaining a correlated color temperature value CCT by utilizing a color temperature conversion formula according to the color temperature coordinates x and y of the current environment.
n=(x-0.3320)/(y-0.1858);
CCT=437*n 3 +3601*n 2 -6831*n+5517;
Wherein, (x, y) is CIE color coordinates, and CCT is correlated color temperature.
The value range of the color temperature compensation gain coefficient c corresponds to the following:
CCT≤5000K,c=1.3;
5000<CCT≤5500K,c=1.2;
5500<CCT≤6000K,c=1.1;
6000<CCT≤6500K,c=1;
6500<CCT≤7000K,c=0.9;
7000<CCT≤8000K,c=-0.8;
CCT>8000K,c=-0.7。
and S133, determining a third compensation value t according to the first compensation value alpha determined by the ambient light data and the color temperature compensation gain coefficient c, wherein t=alpha×c.
In this embodiment, the reflected light of the ambient light on the projection screen is detected, and the corresponding color temperature compensation is performed, so that the color temperature of the projection screen is kept in a stable and comfortable range.
S140, identifying the type of the image content of the current projection according to the input signal, and determining a gamma value gamma according to the type of the image content;
judging the image content of the input signal, classifying and dividing the image content into content types such as televisions, movies, displays, animation games and the like according to the image content classification, respectively presetting different gamma values gamma for the content types, wherein the range of the gamma values is 2.0-2.6, and selecting different gamma values according to the image content types. Content type identification may be performed by employing server video data classification identification and local HDMI input device information.
The gamma values and logic for each image content type are as follows:
television class: gamma=2.4, and is for television production contents such as television drama and variety programs. Enhancing details in a slightly over-lit scene, providing enhanced contrast, enhancing visual effects.
Movie class: gamma=2.6, and for the numerical cinema production standard, the standard gamma value of DCI P3 is used.
Display class: gamma=2.2, and aiming at projection output pictures of Windows, mac and other systems, a mobile phone, PAD and other projection equipment with systems ensure accurate restoration display effect.
Game animation class: gamma=2.0, the overall hue brightness is increased, the color saturation of the dark area is properly improved, and the brilliant effect of the overall effect is increased.
S150, obtaining a target gamma curve according to the first compensation value alpha, the second compensation value beta, the third compensation value t and the gamma value gamma, wherein the formula of the target gamma curve is as follows;
Y R =α*X R γ +(1-α-β)*X R 2*γ +β*X R 3*γ
Y G =α*X G γ +(1-α-β)*X G 2*γ +β*X G 3*γ
Y B =t*α*X B γ +(1-t*α-β)*X B 2*γ +β*X B 3*γ
wherein X is R 、X G 、X B R, G, B input signals, Y R 、Y G 、Y B Output signals R, G, B respectively.
In the target gamma curve, the gamma value gamma controls the nonlinear change curvature of the whole gamma curve, and defines the shading basic tone of the whole gamma curve; the first compensation value alpha is mainly used for controlling the overall gain value of the gamma curve, the overall function curve is controlled in an overall gain form, the function curve value is integrally lifted when the first compensation value alpha is increased, the function curve value is integrally lowered when the first compensation value alpha is reduced, and the influence of the function curve value on the bright part area and the dark part area is different according to the magnitude of the value of the first compensation value alpha; the second compensation value beta is mainly used for controlling the slope value and the gain of the bright portion curve, and has small influence on the dark portion. When beta is positive, as beta increases, the function curve bright part data are suppressed, and the output signal Y of the bright part area is reduced; when beta is negative, as beta is continuously reduced, the function curve bright part data is enhanced, and the output signal Y value of the bright part area is increased. The projection device displays the input signal according to the target gamma curve. The third compensation value t controls the color temperature compensation of the whole gamma curve, and when the value t changes, Y B The curve value will change as a whole, and the tristimulus value Z duty cycle corresponding to the signal will also change. As can be seen from the color temperature conversion formula, the color temperature T decreases when Z decreases, and increases when Z increases, thereby realizing the adjustment of the color temperature.
In the embodiment of the invention, the projection equipment recognizes the material of the reflecting surface of the current projection curtain and the environment light condition of the projection scene through the own sensor, and performs full-automatic software operation by recognizing the current image content type to self-adaptively obtain the target gammaA curve. If the ambient illuminance of the current projection scene obtained by the light sensor is 60lux, the current projection scene belongs to a normal environment, and the corresponding first compensation value alpha takes a value of 1.1; the projection reflection surface material of the current projection curtain obtained by the TOF sensor is a common diffuse reflection curtain, beta 1 Taking value 0, judging that the gain value of the reflecting surface is 0.6 according to the data returned by the TOF sensor, and then beta 2 Taking the value of-0.5, and taking the value of the second compensation value beta as-0.5; detecting reflected light data on a curtain through an RGB sensor, and calculating to obtain that the color temperature of the reflected light is 5800K, wherein the value of c is 1.1, so that the value of t is 1.21 according to a formula; and identifying and acquiring the currently projected image content as a television class according to the server video data classification and identification and the local HDMI input device information, wherein the gamma value gamma takes a value of 2.4. The target gamma curve may be determined as:
Y R =1.1*X R γ +0.4*X R 2*γ -0.5*X R 3*γ
Y G =1.1*X G γ +0.4*X G 2*γ -0.5*X G 3*γ
Y B =1.331X B γ +0.169X B 2*γ -0.5X B 3*γ
wherein X is R 、X G 、X B R, G, B input signals, Y R 、Y G 、Y B Output signals R, G, B respectively. The projection device may display the input signal according to the target gamma curve.
The gamma curve adjusting method of the projection equipment provides a systematic and scenerized intelligent gamma curve adapting scheme for users, can automatically match different ambient lights, different types of reflecting surfaces and different image content types, and particularly can compensate the color temperature according to the different color temperatures of the ambient lights, so that the color temperature of final display is ensured to be stable; under the condition of no need of complicated operation and mastering professional background knowledge, the optimal display effect can be achieved under different environments and different projection screens and different image types, and the overall visual ornamental experience of a user is improved.
The method for adjusting the gamma curve of the projection device according to the embodiment of the invention is described in detail above with reference to fig. 1. The following describes in detail a projection apparatus provided in an embodiment of the present invention with reference to fig. 2.
As shown in fig. 2, an embodiment of the present invention further provides a projection apparatus 200, including a first sensor 210, a second sensor 220, and a control device 230; the first sensor 210 is configured to acquire ambient light data of a current projection scene, and the first sensor 210 may be a light sensor; the second sensor 220 is configured to acquire data of a reflecting surface of the current projection curtain, and the second sensor 220 may be a TOF sensor, a CCD image sensor, an ultrasonic sensor, or other sensors; the control device 230 is configured to determine a first compensation value α according to the ambient light data, determine a second compensation value β according to the reflection surface data, and determine a third compensation value t according to the ambient light data and the reflection surface data; the control device is also used for identifying the type of the image content of the current projection according to the input signal and determining a gamma value gamma according to the type of the image content; and obtaining a target gamma curve according to the first compensation value alpha, the second compensation value beta, the third compensation value t and the gamma value gamma.
Optionally, the ambient light data comprises ambient light illuminance; the first sensor is used for acquiring the ambient illuminance of the current projection scene; the control device 230 is configured to find a first compensation value α matching the ambient light illuminance in a first correspondence relationship, where the first correspondence relationship includes a plurality of illuminance intervals, and each illuminance interval corresponds to one first compensation value α.
Optionally, the control device 230 is configured to determine a curtain type and a reflector gain according to the reflector data; searching a curtain type compensation value beta matched with the curtain type in a second corresponding relation 1 Searching a reflection surface gain compensation value beta matched with the reflection surface gain in a third corresponding relation 2 The method comprises the steps of carrying out a first treatment on the surface of the Wherein the second corresponding relation comprises a plurality of curtain types, and each curtain type corresponds to one curtain type compensationValue beta 1 The method comprises the steps of carrying out a first treatment on the surface of the The third corresponding relation comprises a plurality of gain sections, each gain section corresponds to a reflection surface gain compensation value beta 2 The method comprises the steps of carrying out a first treatment on the surface of the -compensating the curtain type by a value beta 1 And a reflection surface gain compensation value beta 2 As said second compensation value beta.
Optionally, the control device is configured to determine that color temperature compensation is effective when the ambient light data meets a preset illuminance condition and a curtain type is determined to be a preset type according to the reflection surface data; otherwise, the color temperature compensation is not validated, and the third compensation value t=1 is defaulted when the color temperature compensation is not validated.
And when the color temperature compensation is effective, processing the ambient light data to obtain a correlated color temperature value CCT.
Specifically, the control device is used for carrying out statistical analysis on the ambient light data to obtain red, green and blue occupation ratios X, Y and Z of the ambient light; determining color temperature coordinates x and y of the current environment according to the red, green and blue occupation ratios X, Y and Z of the ambient light; and obtaining a correlated color temperature value CCT by utilizing a color temperature conversion formula according to the color temperature coordinates x and y of the current environment.
Searching a color temperature compensation gain coefficient c matched with the correlated color temperature value in a fourth corresponding relation, wherein the fourth corresponding relation comprises a plurality of correlated color temperature value intervals, and each correlated color temperature value interval corresponds to one color temperature compensation gain coefficient c; and determining a third compensation value t according to the first compensation value alpha determined by the ambient light data and the color temperature compensation gain coefficient c.
Optionally, the control device 230 is configured to identify a currently projected image content type according to an input signal, and search a fifth correspondence for a gamma value matching the image content type, where the fifth correspondence includes a plurality of image content types, each image content type corresponding to a gamma value γ.
Optionally, the target gamma curve is:
Y R =α*X R γ +(1-α-β)*X R 2*γ +β*X R 3*γ
Y G =α*X G γ +(1-α-β)*X G 2*γ +β*X G 3*γ
Y B =t*α*X B γ +(1-t*α-β)*X B 2*γ +β*X B 3*γ
wherein X is R 、X G 、X B R, G, B input signals, Y R 、Y G 、Y B Output signals R, G, B respectively.
It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described system and module may refer to corresponding procedures in the foregoing method embodiments, which are not described herein again.
In the several embodiments provided in this application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of elements is merely a logical functional division, and there may be additional divisions of actual implementation, e.g., multiple elements or components may be combined or integrated into another system, or some features may be omitted, or not performed.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed over a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the embodiment of the present invention.
In addition, each functional unit in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention is essentially or a part contributing to the prior art, or all or part of the technical solution may be embodied in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods of the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
The foregoing description of the preferred embodiments of the invention is not intended to limit the invention to the precise form disclosed, and any such modifications, equivalents, and alternatives falling within the spirit and scope of the invention are intended to be included within the scope of the invention.

Claims (5)

1. A method for adjusting a gamma curve of a projection device, comprising:
acquiring ambient light data of a current projection scene, and determining a first compensation value alpha according to the ambient light data;
acquiring reflection surface data of a current projection curtain, and determining a second compensation value beta according to the reflection surface data;
determining a third compensation value t according to the ambient light data and the reflection surface data;
identifying the type of the currently projected image content according to an input signal, and determining a gamma value gamma according to the type of the image content;
obtaining a target gamma curve according to the first compensation value alpha, the second compensation value beta, the third compensation value t and the gamma value gamma, wherein the target gamma curve is as follows:
Y R =α*X R γ +(1-α-β)*X R 2*γ +β*X R 3*γ
Y G =α*X G γ +(1-α-β)*X G 2*γ +β*X G 3*γ
Y B =t*α*X B γ +(1-t*α-β)*X B 2*γ +β*X B 3*γ
wherein X is R 、X G 、X B R, G, B input signals, Y R 、Y G 、Y B Output signals of R, G, B respectively;
the obtaining the reflection surface data of the current projection curtain, and determining the second compensation value beta according to the reflection surface data includes: acquiring reflection surface data of a current projection curtain, and determining a curtain type and reflection surface gain according to the reflection surface data; searching a curtain type compensation value beta 1 matched with the curtain type in a second corresponding relation, and searching a reflecting surface gain compensation value beta 2 matched with the reflecting surface gain in a third corresponding relation; the second corresponding relation comprises a plurality of curtain types, and each curtain type corresponds to a curtain type compensation value beta 1; the third corresponding relation comprises a plurality of gain intervals, and each gain interval corresponds to a reflection surface gain compensation value beta 2; taking the sum of the curtain type compensation value beta 1 and the reflecting surface gain compensation value beta 2 as the second compensation value beta;
said determining a third compensation value t from said ambient light data and said reflective surface data comprises: when the ambient light data meets a preset illuminance condition and the curtain type is determined to be a preset type according to the reflection surface data, determining that color temperature compensation is effective; when the color temperature compensation is effective, processing the ambient light data to obtain a correlated color temperature value CCT, and searching a color temperature compensation gain coefficient c matched with the correlated color temperature value in a fourth corresponding relation, wherein the fourth corresponding relation comprises a plurality of correlated color temperature value intervals, and each correlated color temperature value interval corresponds to one color temperature compensation gain coefficient c; determining a third compensation value t according to the first compensation value alpha determined by the ambient light data and the color temperature compensation gain coefficient c;
the identifying the type of the image content of the current projection according to the input signal, and determining the gamma value gamma according to the type of the image content, comprises the following steps: and identifying the currently projected image content type according to the input signal, judging the image content of the input signal, wherein the image content type comprises a television type, a movie type, a display type and an animation game type, different gamma values gamma are preset for different image content types, the image content type identification is carried out by adopting server video data classification identification and local HDMI input equipment information, and the gamma value gamma matched with the image content type is searched in a fifth corresponding relation, wherein the fifth corresponding relation comprises a plurality of image content types, and each image content type corresponds to one gamma value gamma.
2. The method of claim 1, wherein the ambient light data comprises ambient light illumination; the obtaining the ambient light data of the current projection scene, and determining the first compensation value α according to the ambient light data includes:
acquiring the ambient illuminance of a current projection scene, and searching a first compensation value alpha matched with the ambient illuminance in a first corresponding relation; the first corresponding relation comprises a plurality of illuminance intervals, and each illuminance interval corresponds to a first compensation value alpha.
3. The method of claim 1, wherein the third compensation value t = 1 is defaulted when the color temperature compensation is not in effect.
4. The method of claim 1, wherein said processing said ambient light data to obtain correlated color temperature values CCT comprises:
carrying out statistical analysis on the ambient light data to obtain red, green and blue occupation ratios X, Y and Z of the ambient light;
determining color temperature coordinates x and y of the current environment according to the red, green and blue occupation ratios X, Y and Z of the ambient light;
and obtaining a correlated color temperature value CCT by utilizing a color temperature conversion formula according to the color temperature coordinates x and y of the current environment.
5. A projection device comprising a first sensor, a second sensor, and a control means;
the first sensor is used for acquiring the ambient light data of the current projection scene, and the second sensor is used for acquiring the reflection surface data of the current projection curtain;
the control device is used for determining a first compensation value alpha according to the ambient light data, determining a second compensation value beta according to the reflection surface data and determining a third compensation value t according to the ambient light data and the reflection surface data;
the control device is also used for identifying the type of the image content of the current projection according to the input signal and determining a gamma value gamma according to the type of the image content; and obtaining a target gamma curve according to the first compensation value alpha, the second compensation value beta, the third compensation value t and the gamma value gamma, wherein the target gamma curve is:
Y R =α*X R γ +(1-α-β)*X R 2*γ +β*X R 3*γ
Y G =α*X G γ +(1-α-β)*X G 2*γ +β*X G 3*γ
Y B =t*α*X B γ +(1-t*α-β)*X B 2*γ +β*X B 3*γ
wherein X is R 、X G 、X B R, G, B input signals, Y R 、Y G 、Y B Output signals of R, G, B respectively;
the control device is used for acquiring the reflection surface data of the current projection curtain and determining the type of the curtain and the gain of the reflection surface according to the reflection surface data; searching a curtain type compensation value beta 1 matched with the curtain type in a second corresponding relation, and searching a reflecting surface gain compensation value beta 2 matched with the reflecting surface gain in a third corresponding relation; the second corresponding relation comprises a plurality of curtain types, and each curtain type corresponds to a curtain type compensation value beta 1; the third corresponding relation comprises a plurality of gain intervals, and each gain interval corresponds to a reflection surface gain compensation value beta 2; taking the sum of the curtain type compensation value beta 1 and the reflecting surface gain compensation value beta 2 as the second compensation value beta; the color temperature compensation method comprises the steps of determining that color temperature compensation is effective when the ambient light data meets a preset illuminance condition and the type of a curtain is determined to be a preset type according to the reflection surface data; when the color temperature compensation is effective, processing the ambient light data to obtain a correlated color temperature value CCT, and searching a color temperature compensation gain coefficient c matched with the correlated color temperature value in a fourth corresponding relation, wherein the fourth corresponding relation comprises a plurality of correlated color temperature value intervals, and each correlated color temperature value interval corresponds to one color temperature compensation gain coefficient c; determining a third compensation value t according to the first compensation value alpha determined by the ambient light data and the color temperature compensation gain coefficient c; and the image content of the input signal is judged by identifying the type of the currently projected image content according to the input signal, wherein the type of the image content comprises a television type, a movie type, a display type and an animation game type, different gamma values gamma are preset for different types of the image content, the type of the image content is identified by adopting server video data classification identification and local HDMI input equipment information, and the gamma value gamma matched with the type of the image content is searched in a fifth corresponding relation, wherein the fifth corresponding relation comprises a plurality of types of the image content, and each type of the image content corresponds to one gamma value gamma.
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