CN113873208A - Gamma curve adjusting method and device for projection equipment - Google Patents
Gamma curve adjusting method and device for projection equipment Download PDFInfo
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- CN113873208A CN113873208A CN202111086616.1A CN202111086616A CN113873208A CN 113873208 A CN113873208 A CN 113873208A CN 202111086616 A CN202111086616 A CN 202111086616A CN 113873208 A CN113873208 A CN 113873208A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N9/00—Details of colour television systems
- H04N9/12—Picture reproducers
- H04N9/31—Projection devices for colour picture display, e.g. using electronic spatial light modulators [ESLM]
- H04N9/3179—Video signal processing therefor
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N9/00—Details of colour television systems
- H04N9/12—Picture reproducers
- H04N9/31—Projection devices for colour picture display, e.g. using electronic spatial light modulators [ESLM]
- H04N9/3179—Video signal processing therefor
- H04N9/3182—Colour adjustment, e.g. white balance, shading or gamut
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B20/00—Energy efficient lighting technologies, e.g. halogen lamps or gas discharge lamps
- Y02B20/40—Control techniques providing energy savings, e.g. smart controller or presence detection
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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 alpha according to the ambient light data; acquiring reflector data of a current projection curtain, and determining a second compensation value beta according to the reflector data; identifying the content type of a currently projected image according to an input signal, and determining a gamma value gamma according to the content type of the image; and obtaining a target gamma curve according to the first compensation value alpha, the second compensation value beta and the gamma value gamma. The invention provides a systematic and scene intelligent gamma curve adapting scheme for users, and can achieve the optimal display effect under different environments, different projection screens and different image types when projecting under the condition of not needing complicated operation and mastering professional background knowledge, thereby improving the overall visual viewing experience of the users.
Description
Technical Field
The invention relates to the technical field of projection, in particular to a gamma curve adjusting method and gamma curve adjusting equipment for projection equipment.
Background
The projection device is a device which can project images or videos onto a curtain for display, and is widely applied to places such as families, offices, schools or movie theaters.
In the prior art, a gamma (gamma) setting option of a projection device is a simple option which is provided for a user and can be manually adjusted, or is bound with an image mode, manual switching is performed according to different film sources or use scenes, the operation is complex, and an integrated convenient self-adaptive scheme is lacked.
Disclosure of Invention
The invention aims to solve the technical problem in the prior art and provides a gamma curve adjusting method and equipment for projection equipment.
To solve the above technical problem, 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 reflector data of a current projection curtain, and determining a second compensation value beta according to the reflector data; identifying the content type of a currently projected image according to an input signal, and determining a gamma value gamma according to the content type of the image; and obtaining a target gamma curve according to the first compensation value alpha, the second compensation value beta and the gamma value gamma.
To solve the above technical problem, an embodiment of the present invention further provides a projection apparatus, 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 reflector data of a current projection screen, the control device is used for determining a first compensation value alpha according to the ambient light data, and determining a second compensation value beta according to the reflector 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 and the gamma value gamma.
The invention has the beneficial effects that: the gamma curve adjusting method and the projection equipment provided by the invention provide a systematized and scene-oriented intelligent gamma curve adapting scheme for users, can automatically match different ambient lights, different types of reflecting surfaces and different image content types, can achieve the optimal display effect under different environments, different projection screens and different image types when projecting under different environments without complicated operation and professional background knowledge mastering, and improve the overall visual viewing experience of the users.
Additional aspects of the invention and its advantages 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 illustrating a gamma curve adjustment method for a projection apparatus according to an embodiment of the present invention;
fig. 2 is a block diagram of a projection apparatus according to an embodiment of the present invention.
Detailed Description
The principles and features of this invention are described below in conjunction with the following drawings, which are set forth by way of illustration only and are not intended to limit the scope of the invention.
The generalized definition of the Gamma value is the Gamma power exponential relation between the input value and the output value, which is used to compensate the non-linear perception of the natural brightness by human eyes.
Like LCD and OLED display devices, projection devices also have general gamma compensation, but due to the difference in the display modes (the former is self-luminous direct-projection display, and the latter is reflection display), projection devices are more sensitive to the material of the projected reflective surface and the size of the ambient light, and are more susceptible to the influence of the two, which can significantly reduce the display effect. In addition, different gamma values are needed for different scene modes, the mode of manually setting the gamma option is complex to operate, and the user experience is poor.
Aiming at the problems that projection screens of projection display equipment are various, projection ambient light is complex, projection content is various, and compared with development products such as LCD (liquid crystal display), OLED (organic light emitting diode) and the like, the imaging effect of the projection products is more easily influenced by factors such as use conditions, environments and the like.
Fig. 1 is a flowchart of a gamma curve adjusting method for a projection apparatus according to an embodiment of the present invention. As shown in fig. 1, the method includes:
s110, obtaining the ambient light data of the current projection scene, and determining a first compensation value alpha according to the ambient light data.
Specifically, the ambient light data may include ambient light illuminance or brightness, and the ambient light data of the current projection scene may be acquired by using a light sensor of the projection device. In the embodiment of the invention, the ambient light illumination of the current projection scene is obtained, and the first compensation value alpha matched with the ambient light illumination is searched in the first corresponding relation. In the first correspondence relationship, the ambient illuminance may be divided into a plurality of illuminance intervals, each illuminance interval corresponds to one illuminance level, and each illuminance level is assigned with a first compensation value α. Such light levels may include: a very dark environment, a darker environment, a normal environment, a lighter environment, and a very bright environment.
According to the visual characteristics of human eyes, the resolution of the human eyes on dark details in a dark environment is enhanced, at the moment, data of a dark part area of an image are properly compressed, data of a bright part are expanded, the resolution of the dark details is ensured, and meanwhile, a better contrast of the bright part can be obtained, so that the visual contrast of the whole image is enhanced to a certain extent. On the contrary, in a brighter environment, because the black potential is increased along with the increase of the ambient light, the recognition degree of the dark detail picture is compressed, the contrast of the dark part area is properly expanded, and the resolution of the dark detail is enhanced.
The illumination value ranges of different illumination levels and the corresponding values of the first compensation value α may be as follows:
in a very dark environment: the illumination value range is 0-1lux, and the corresponding alpha is 1.0;
dark environment: the illumination value range is 1-10lux, and the corresponding alpha is 1.0-1.1;
normal environment: the illumination value range is 10-100lux, and the corresponding alpha is 1.1-1.2;
a brighter environment: the illumination value range is 100-300lux, and the corresponding alpha is 1.2-1.3;
extremely bright environment: the illumination value range is more than 300lux, and the corresponding alpha is 1.3-1.4.
The above description is given for the illuminance value ranges of different illuminance levels and the values of the corresponding first compensation values α by way of example, and it can be understood that the number of illuminance level divisions, the value range of each illuminance level, and the value of the first compensation value α corresponding to each illuminance level may all be set according to actual situations, and no specific limitation is made here.
And S120, acquiring the reflecting surface data of the current projection curtain, and determining a second compensation value beta according to the reflecting surface data. The projection screen may be identified and analyzed using TOF sensors, CCD image sensors, ultrasonic sensors or other sensors. In the embodiment of the invention, the TOF sensor of the projection equipment is utilized to judge and identify the type and gain value of the reflecting surface of the projection curtain, and different second compensation values beta are given according to different grades.
Specifically, acquiring reflecting surface data of a current projection curtain, and determining a second compensation value β according to the reflecting surface data, includes:
s121, obtaining reflecting surface data of the current projection curtain, and determining the curtain type and the reflecting surface gain according to the reflecting surface data;
s122, searching the curtain type compensation value beta matched with the curtain type in the second corresponding relation1Searching a reflecting surface gain compensation value beta matched with the reflecting surface gain in the third corresponding relation2(ii) a Wherein the second corresponding relationship comprises multiple curtain types, and each curtain type corresponds to a curtain type compensation value beta1(ii) a The third corresponding relation comprises a plurality of gain intervals, and each gain interval corresponds to a reflecting surface gain compensation value beta2。
Specifically, in the second correspondence, the projection reflection surfaces are classified according to the curtain types, and different curtain type compensation values β are given to the projection reflection surfaces of different curtain types1. For example, a general diffuse reflection curtain is marked as a type 1 curtain, and a light-resistant curtain (black grid, fresnel, etc.) is marked as a type 2 curtain.
Class 1 curtain types have no black coating, and the compensation coefficient value range is beta1＝0；
Type 2 curtains with black coatings, the black coatings being cast against each other from a visual perspectiveThe influence of the light of the shadow low-brightness signal is large, so that the contrast of the dark part area needs to be properly expanded, and the value range of the compensation coefficient is beta1＝0-0.4。
And the TOF sensor returns data to judge whether the reflecting surface is a common diffuse reflection curtain or a light-resistant curtain type reflection curtain. Searching the curtain type compensation value beta matched with the curtain type in the second corresponding relation1。
In the third correspondence relationship, the reflecting surface gain is divided into a plurality of gain sections, and different reflecting surface gain compensation values β are given to the reflecting surface gains in different gain sections2. For example, the gain range can be divided into three gain ranges, wherein the first gain range is 0-0.8, the second gain range is 0.8-1.0, and the third gain range is larger than 1. According to the curtain with high gain, the bright part can be expanded properly, and the dark part is pressed down to improve the visual contrast effect of the picture; according to the curtain with low gain, the gamma value can be properly reduced or not processed, thereby achieving the display effect of improving the average brightness of the whole picture.
Judging the gain value interval of the reflecting surface by the reflecting surface data returned by the TOF sensor, and when the gain value is in the first interval, the value range of the gain compensation value of the reflecting surface is beta2-0.5-0; when the gain value is in the second interval, the value range of the gain compensation value of the reflecting surface is beta20; when the gain value is in the third interval, the value range of the gain compensation value of the reflecting surface is beta2＝0-0.5。
S123, compensating the curtain type by the compensation value beta1And a reflecting surface gain compensation value beta2The sum of (b) is taken as the second compensation value β. The second compensation value β is calculated by the formula: beta is beta ═ beta1+β2。
S130, identifying the content type of the image projected at present according to the input signal, and determining a gamma value gamma according to the content type of the image;
the method comprises the steps of judging the image content of an input signal, classifying the input signal into content types such as television types, movie types, display types, animation games and the like according to the image content, presetting different gamma values gamma for the content respectively, wherein the value range of the gamma values is 2.0-2.6, and selecting different gamma values according to the image content types. The content type identification can be realized by adopting server video data classification identification and local HDMI input equipment information.
The gamma values and logic for each image content type are as follows:
television class: gamma is 2.4, and the content is produced for TV shows, comprehensive programs, etc. Enhance details in slightly too bright scenes, provide enhanced contrast, and enhance visual effects.
Movie class: γ is 2.6, and for the numerical cinema production criteria, the standard gamma value of DCI P3 is used.
Display type: and gamma is 2.2, and the display effect is ensured to be accurately restored for projection output pictures of systems such as Windows and Mac and projection equipment with systems such as mobile phones and PADs.
Game animation class: gamma is 2.0, the whole tone brightness is increased, the color saturation of the dark part area is properly improved, and the bright effect of the whole effect is increased.
S140, obtaining a target gamma curve according to the first compensation value alpha, the second compensation value beta and the gamma value gamma, wherein the target gamma curve has the following formula;
Y＝α*Xγ+(1-α-β)*X2*γ+β*X3*γ
wherein X is an input signal and Y is an output signal.
In the target gamma curve, the gamma value gamma controls the non-linear change curvature of the whole gamma curve, and the light and shade basic tone of the whole gamma curve is defined; 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 the form of overall gain, the overall function curve value is raised when the first compensation value alpha is increased, the overall function curve value is reduced when the first compensation value alpha is reduced, and the influence of the overall function curve value on the bright part area and the dark part area is different along with the magnitude 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 part curve, and has small influence on the dark part. When beta is a positive value, as beta is increased, the bright part data of the function curve is suppressed, and the output signal Y of the bright part area is reduced; when the beta is a negative value, the bright part data of the function curve is enhanced along with the continuous reduction of the beta, and the value of the output signal Y in the bright part area is increased. The projection device displays the input signal according to a target gamma curve.
In the embodiment of the invention, the projection equipment identifies the material of the reflecting surface of the current projection curtain and the ambient light condition of the projection scene through the self-contained sensor, and carries out full-automatic software operation by identifying the current image content type so as to self-adapt to the target gamma curve. If the ambient light illuminance of the current projection scene obtained by the optical 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 reflecting surface of the current projection curtain obtained by the TOF sensor is made of a common diffuse reflection curtain, and then beta is obtained1Taking a value of 0, judging that the gain value of the reflecting surface is 0.6 according to data returned by the TOF sensor, and determining that the beta value is2The value of the second compensation value beta is-0.5 if the value of the second compensation value beta is-0.5; and (3) acquiring the content of the currently projected image as a television according to the classification and identification of the video data of the server and the information identification of the local HDMI input equipment, wherein the gamma value gamma is 2.4. The target gamma curve may be determined as:
Y＝1.1*X2.4+0.4*X2*2.4-0.5*X3*2.4，
wherein X is an input signal and Y is an output signal. Further, the projection device may display the input signal according to the target gamma curve.
The gamma curve adjusting method and the projection equipment provided by the embodiment of the invention provide a systematized and scene-oriented intelligent gamma curve adapting scheme for users, can automatically match different ambient lights, different types of reflecting surfaces and different image content types, can achieve the optimal display effect under different environments, different projection screens and different image types when projecting without complicated operation and professional background knowledge, and improve the overall visual viewing experience of the users.
The gamma curve adjusting method for a projection apparatus according to an embodiment of the present invention is described in detail above with reference to fig. 1. The projection device provided by the embodiment of the invention is described in detail below with reference to fig. 2.
As shown in fig. 2, an embodiment of the present invention further provides a projection apparatus 200, which includes 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, where the first sensor 210 may be a light sensor; the second sensor 220 is used for acquiring the data of the 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, and determine a second compensation value β according to the reflective surface data; the control device is also used for identifying the type of image content projected currently 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 and the gamma value gamma.
Optionally, the ambient light data comprises ambient light illuminance; the first sensor is used for acquiring the ambient light illumination of the current projection scene; the control device 230 is configured to search for a first compensation value α matching the ambient light illuminance in a first corresponding relationship, where the first corresponding 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 the second corresponding relation1Searching a reflecting surface gain compensation value beta matched with the reflecting surface gain in the third corresponding relation2(ii) a Wherein the second corresponding relationship comprises multiple curtain types, and each curtain type corresponds to a curtain type compensation value beta1(ii) a The third corresponding relation comprises a plurality of gain intervals, and each gain interval corresponds to a reflecting surface gain compensation value beta2(ii) a Compensating the curtain type by the value beta1And a reflecting surface gain compensation value beta2The sum of (b) is taken as the second compensation value β.
Optionally, the control device 230 is configured to identify a type of image content currently projected according to the input signal, and search for a gamma value matching the type of the image content in a fourth corresponding relationship, where the fourth corresponding relationship includes a plurality of types of image content, and each type of image content corresponds to a gamma value γ.
Optionally, the target gamma curve is:
Y＝α*Xγ+(1-α-β)*X2*γ+β*X3*γ，
wherein X is an input signal and Y is an output signal.
It can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes of the system and the module described above may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, a division of a unit is merely a logical division, and an actual implementation may have another division, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed.
Units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment of the present invention.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention essentially or partially contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to 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), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.
Claims (10)
1. A gamma curve adjustment method for 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 reflector data of a current projection curtain, and determining a second compensation value beta according to the reflector data;
identifying the content type of a currently projected image according to an input signal, and determining a gamma value gamma according to the content type of the image;
and obtaining a target gamma curve according to the first compensation value alpha, the second compensation value beta and the gamma value gamma.
2. The method of claim 1, wherein the ambient light data comprises ambient light illumination; the acquiring of the ambient light data of the current projection scene and the determining of the first compensation value α according to the ambient light data includes:
acquiring the ambient illuminance of the 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 illumination intervals, and each illumination interval corresponds to one first compensation value alpha.
3. The method of claim 1, wherein obtaining reflector data for a current projection curtain, and determining a second compensation value β from the reflector data comprises:
acquiring reflector data of a current projection curtain, and determining the curtain type and the reflector gain according to the reflector data;
searching a curtain type compensation value beta matched with the curtain type in the second corresponding relation1Searching a reflecting surface gain compensation value beta matched with the reflecting surface gain in the third corresponding relation2(ii) a Wherein the second corresponding relationship comprises multiple curtain types, and each curtain type corresponds to a curtain type compensation value beta1(ii) a The third corresponding relation comprises a plurality of gain intervals, and each gain interval corresponds to a reflecting surface gain compensation value beta2；
Compensating the curtain type by the value beta1And a reflecting surface gain compensation value beta2The sum of (b) is taken as the second compensation value β.
4. The method of claim 1, wherein identifying a type of image content currently projected from the input signal, and determining the gamma value γ from the type of image content comprises:
identifying the type of image content currently projected according to an input signal, and searching a gamma value gamma matched with the type of the image content in a fourth corresponding relation, wherein the fourth corresponding relation comprises a plurality of types of image content, and each type of image content corresponds to one gamma value gamma.
5. The method of any one of claims 1 to 4, wherein the target gamma curve is:
Y＝α*Xγ+(1-α-β)*X2*γ+β*X3*γ，
wherein X is an input signal and Y is an output signal.
6. A projection device comprising a first sensor, a second sensor and a control means;
the first sensor is used for acquiring ambient light data of a current projection scene, and the second sensor is used for acquiring reflector data of a current projection curtain;
the control device is used for determining a first compensation value alpha according to the ambient light data and determining a second compensation value beta according to the reflecting 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 and the gamma value gamma.
7. The projection device of claim 6, wherein the ambient light data comprises ambient light illuminance; the first sensor is used for acquiring the ambient light illumination of the current projection scene;
the control device is used for searching a first compensation value alpha matched with the ambient light illumination in a first corresponding relation; the first corresponding relation comprises a plurality of illumination intervals, and each illumination interval corresponds to one first compensation value alpha.
8. The projection device of claim 6, wherein the control means is configured to determine a curtain type and a reflector gain based on the reflector data; searching a curtain type compensation value beta matched with the curtain type in the second corresponding relation1Searching a reflecting surface gain compensation value beta matched with the reflecting surface gain in the third corresponding relation2(ii) a Wherein the second corresponding relationship comprises multiple curtain types, and each curtain type corresponds to a curtain type compensation value beta1(ii) a The third correspondence includesMultiple gain sections, each gain section corresponding to a reflection surface gain compensation value beta2(ii) a Compensating the curtain type by the value beta1And a reflecting surface gain compensation value beta2The sum of (b) is taken as the second compensation value β.
9. The projection apparatus of claim 8, wherein the control means is configured to identify a type of image content currently projected according to the input signal, and to search for a gamma value matching the type of image content in the fourth correspondence; wherein the fourth correspondence includes a plurality of image content types, each image content type corresponding to a gamma value γ.
10. The projection device of any of claims 6 to 9, wherein the target gamma curve is:
Y＝α*Xγ+(1-α-β)*X2*γ+β*X3*γ，
wherein X is an input signal and Y is an output signal.
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| CN109215542A (en) * | 2018-08-15 | 2019-01-15 | 友达光电股份有限公司 | Situational projection system and control method thereof |
| JP2020118783A (en) * | 2019-01-22 | 2020-08-06 | キヤノン株式会社 | Ambient light correction method |
| JP2021033122A (en) * | 2019-08-27 | 2021-03-01 | キヤノン株式会社 | Projection system, control device, projection method, program and storage medium |
| CN112738489A (en) * | 2020-12-23 | 2021-04-30 | 深圳市火乐科技发展有限公司 | Projection equipment control method, device, medium and electronic equipment |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116072059A (en) * | 2023-02-27 | 2023-05-05 | 卡莱特云科技股份有限公司 | Image display method and device, electronic equipment and storage medium |
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