CN113628137B - Image enhancement algorithm and device under light deficient environment - Google Patents
Image enhancement algorithm and device under light deficient environment Download PDFInfo
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- G—PHYSICS
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Abstract
The invention discloses an image enhancement algorithm and a device under a light deficient environment, wherein required equipment comprises a display, an external environment light sensing module, a main control module, an image preprocessing module, a brightness adjusting module, a sensing calculation module, an image enhancement processing module and an execution module, wherein the display consists of a display screen, a frame shell, a display circuit board and a power supply, the image enhancement processing module consists of a sharpness adaptation adjusting module, a contrast adaptation adjusting module, a geometric correction module and a radiation correction module, and the execution module consists of a built-in algorithm system and a shunt execution assembly. According to the image enhancement algorithm under the environment with insufficient light, through considering all conditions of the external light environment from bright to dark, multiple groups of adaptive adjustment modules which are used for automatically adjusting according to the algorithm and weakening different external environment lights are additionally arranged, different equation algorithms can be implemented according to different light changes of the external light environment, and therefore image enhancement in an optimal state is achieved.
Description
Technical Field
The invention relates to the technical field of image display, in particular to an image enhancement algorithm and an image enhancement device under an environment with insufficient light.
Background
The image display refers to the display showing of a specified image on a certain medium, and the external bright environment is an important factor influencing the image intensity in the image display.
The image enhancement mode adopted for image display in the environment of insufficient light formed by weakening the external brightness environment in the center of the prior art is brightness adjustment, the image enhancement algorithm obtained by the existing brightness enhancement algorithm cannot be suitable for different brightness environments, different equation algorithms cannot be implemented according to different light changes of the external brightness environment, the final image enhancement effect is achieved, the reliability of the brightness enhancement algorithm is more general, the image enhancement in comprehensive vision is difficult to achieve by the algorithm conforming to the internal structure of the human eyeball to the greatest extent only through the adaptation adjustment in brightness, and the integral image enhancement algorithm is more general.
Disclosure of Invention
The invention aims to provide an image enhancement algorithm and an image enhancement device under an environment with insufficient light, so as to solve the problems that in the background art, different equation algorithms cannot be implemented to achieve a final image enhancement effect according to different light changes of an external bright environment, and the image enhancement device does not have better reliability.
In order to achieve the above purpose, the present invention provides the following technical solutions:
in one aspect, the invention provides an image enhancement algorithm in a light deficient environment, which comprises a display, an external environment light sensing module, a main control module, an image preprocessing module, a brightness adjusting module, a sensing calculating module, an image enhancement processing module and an executing module, wherein the display consists of a display screen, a frame shell, a display circuit board and a power supply, the external environment light sensing module consists of a light intensity sensor and a signal receiving and transmitting assembly, the main control module consists of an AD converter, a control circuit board and a control switch, the image preprocessing module consists of a gray level conversion module, an image smoothness adjusting module and a median filtering adjusting module, the brightness adjusting module consists of a light supplementing lamp tube and a brightness adjusting switch, the sensing calculating module consists of a sensing receiving module and a calculating module, the image enhancement processing module consists of a sharpness adapting adjusting module, a contrast adapting adjusting module, a geometric correcting module and a radiation correcting module, the executing module consists of a built-in algorithm system and a branching executing module, and the required equipment obtains the algorithm through the following steps:
step one: the method comprises the steps of assembling a display, namely assembling an external environment light sensing module, a main control module, an image preprocessing module, a brightness adjusting module, a sensing calculation module, an image enhancement processing module and an execution module at corresponding positions in the display, and completing the whole assembly work of the display;
step two: the method comprises the steps of testing a constant high-brightness environment, connecting a display after assembly with an external adaptation power supply by using a power supply through an analog algorithm, testing the display effect of the display under different brightness environments, setting initial external environment brightness as 100, setting initial picture saturation of the display as 100, setting initial brightness of a light supplementing lamp tube in a brightness adjusting module as 50, setting a gray level initial value of a gray level converting module as 20, setting an image smoothness initial value in an image smoothness adjusting module as 100, setting a median filtering length window initializing calculation formula in a median filtering adjusting module as L=2N+1, setting a sharpness value of a sharpness adapting adjusting module as 0, and setting a contrast value in a contrast adapting adjusting module as 40;
step three: the method comprises the steps of adapting to brightness environment test, simulating algorithm, connecting a display after assembly with an external adapting power supply by using a power supply, testing the display effect of the display under different brightness environments, setting initial external environment brightness to be 50-100, setting initial picture saturation of the display to be 75-100, setting brightness of a light supplementing lamp tube in a brightness adjusting module to be 50, setting gray level of a gray level converting module to be 20-40, setting image smoothness value in an image smoothness adjusting module to be 90-100, setting sharpness value of the sharpness adapting adjusting module to be 0-20, and setting contrast value in the contrast adapting adjusting module to be 40-60.
Step four: the method comprises the steps of testing a low-brightness environment, simulating an algorithm, connecting a display after assembly with an external adaptation power supply by using a power supply, testing the display effect of the display under different brightness environments, setting initial external environment brightness to be 0-50, setting initial picture saturation of the display to be 50-75, setting initial brightness of a light supplementing tube in a brightness adjusting module to be 50-100, setting gray level of a gray level converting module to be 40-60, setting image smoothness value in an image smoothness adjusting module to be 80-90, setting sharpness value of a sharpness adapting adjusting module to be 20-40, and setting contrast value in a contrast adapting adjusting module to be 60-80;
step five: setting an initial algorithm triggering condition of a calculation module to be smaller than 50, setting the external environment brightness to be alpha, setting the initial picture saturation to be beta, setting the initial brightness of a light supplementing lamp tube to be gamma, setting a gray level value of a gray level conversion module to be delta, setting an image smoothness value to be epsilon, setting a sharpness value to be zeta and setting a contrast value to be eta according to experimental data obtained under different brightness environments;
step six: setting an algorithm, namely setting an initial algorithm agency of a calculation module to be an equation algorithm of alpha-1=gamma+1 under the condition that the alpha value is 0-100, wherein alpha-1=beta-0.5=delta+0.4=epsilon-0.2=zeta+0.4=eta+0.4, and alpha is less than 50, and triggering an identity regulation algorithm: α -1=γ+1=δ+0.4=ε -0.2=ζ+0.4=η+0.4, resulting in a constant image enhancement algorithm;
preferably, the outer environment light sensing module, the main control module, the image preprocessing module, the brightness adjusting module, the sensing calculating module, the image enhancement processing module and the executing module are integrally assembled inside the display, and the outer environment light sensing module, the main control module, the image preprocessing module, the brightness adjusting module, the sensing calculating module, the image enhancement processing module and the executing module are mutually connected in parallel inside the display.
Preferably, the light intensity sensor and the signal transceiver assembly inside the external environment light sensing module are connected in parallel, the AD converter, the control circuit board and the control switch in the main control module are connected in parallel, and the control circuit board and the control switch are electrically connected with the image preprocessing module, the brightness adjusting module, the induction calculating module, the image enhancement processing module and the execution module.
Preferably, the second to fifth steps collect data of each module continuously in different light environments, convert analog signals of each module into digital signals through the signal transceiver component and the AD converter, and control the different module components to guide the induction calculation module to execute the execution algorithm according to the basic setting of the induction calculation module through the branch execution component through the main control module, so as to perform technical integration calculation on the data obtained by the basic algorithm, and obtain the image enhancement algorithm in the light deficient environment.
In a second aspect, the invention provides an image enhancement device in an environment with insufficient light, which comprises a display, an external environment light sensing module, a main control module, an image preprocessing module, a brightness adjusting module, a sensing calculation module, an image enhancement processing module and an execution module, and is characterized in that: the display comprises a display screen, a frame shell, a display circuit board and a power supply, the external environment light sensing module comprises a light intensity sensor and a signal receiving and transmitting assembly, the main control module comprises an AD converter, a control circuit board and a control switch, the image preprocessing module comprises a gray level conversion module, an image smoothness adjusting module and a median filtering adjusting module, the brightness adjusting module comprises a light supplementing lamp tube and a brightness adjusting switch, the sensing calculating module comprises a sensing receiving assembly and a calculating module, the image enhancement processing module comprises a sharpness adaptation adjusting module, a contrast adaptation adjusting module, a geometric correction module and a radiation correction module, the executing module comprises a built-in algorithm system and a shunt executing assembly, and the display, the external environment light sensing module, the main control module, the image preprocessing module, the brightness adjusting module, the sensing calculating module, the image enhancement processing module and the executing module are electrically connected with each other.
Preferably, the display comprises a display screen, a frame shell, a display circuit board and a power supply, the external environment light sensing module comprises a light intensity sensor and a signal receiving and transmitting assembly, the display screen and the frame shell are fixedly connected with each other, the display circuit board and the power supply are fixedly installed in a designated area of the display, and the strong sensor and the signal receiving and transmitting assembly are fixedly installed in the external environment light sensing module and are electrically connected with each other.
Preferably, the main control module is composed of an AD converter, a control circuit board and a control switch, the image preprocessing module is composed of a gray level conversion module, an image smoothness adjusting module and a median filtering adjusting module, the AD converter, the control circuit board and the control switch are in telecommunication connection with each other in the main control module, and the gray level conversion module, the image smoothness adjusting module and the median filtering adjusting module are fixedly installed at appointed positions in the image preprocessing module and are related to each other.
Preferably, the brightness adjusting module is composed of a light supplementing tube and a brightness adjusting switch, the sensing calculating module is composed of a sensing receiving module and a calculating module, the image enhancement processing module is composed of a sharpness adaptation adjusting module, a contrast adaptation adjusting module, a geometric correction module and a radiation correction module, the execution module is composed of a built-in algorithm system and a shunt execution module, the light supplementing tube and the brightness adjusting switch are electrically connected with each other, and the sharpness adaptation adjusting module, the contrast adaptation adjusting module, the geometric correction module and the radiation correction module are fixedly installed at appointed positions in the image enhancement processing module and are mutually related, and meanwhile, the sensing receiving module and the calculating module are electrically connected with each other.
The beneficial effects of the invention are as follows: according to the image enhancement algorithm under the environment with insufficient light, through considering all conditions of the external light environment from bright to dark, a plurality of groups of adaptive adjustment modules which are used for automatically adjusting according to the algorithm are additionally arranged, different equation algorithms can be implemented according to different light changes of the external light environment, so that the image enhancement in an optimal state can be realized, the image enhancement algorithm can be suitable for normal use work under different light environments, and the light supplementing intensity in the algorithm is further calculated and limited, so that the light supplementing equation algorithm can be implemented on the basis that the external light environment meets the basic requirement of calculation, and the maximum image brightness can be guaranteed all the time under the condition of different external light environments to the maximum extent, so that the brightness enhancement of the image is guaranteed, and the reliability of the algorithm is effectively guaranteed.
Drawings
FIG. 1 is a schematic diagram of the subordinate structure of the device required by the invention;
FIG. 2 is a schematic diagram of the algorithm flow structure of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Examples
The image enhancement algorithm in this light deficient environment is implemented by:
step one: the method comprises the steps of assembling a display, namely assembling an external environment light sensing module, a main control module, an image preprocessing module, a brightness adjusting module, a sensing calculation module, an image enhancement processing module and an execution module at corresponding positions in the display, and completing the whole assembly work of the display;
step two: the method comprises the steps of testing a constant high-brightness environment, connecting a display after assembly with an external adaptation power supply by using a power supply through an analog algorithm, testing the display effect of the display under different brightness environments, setting initial external environment brightness as 100, setting initial picture saturation of the display as 100, setting initial brightness of a light supplementing lamp tube in a brightness adjusting module as 50, setting a gray level initial value of a gray level converting module as 20, setting an image smoothness initial value in an image smoothness adjusting module as 100, setting a median filtering length window initializing calculation formula in a median filtering adjusting module as L=2N+1, setting a sharpness value of a sharpness adapting adjusting module as 0, and setting a contrast value in a contrast adapting adjusting module as 40;
step three: the display after the assembly is connected with an external adaptation power supply by using a power supply by adapting to a brightness environment test and simulating an algorithm, the display effect of the display is tested under different brightness environments, the initial external environment brightness is set to 90, the initial picture saturation of the display is 95, the brightness of a light supplementing tube in a brightness adjusting module is 50, the gray level of a gray level converting module is 24, the image smoothness value in an image smoothness adjusting module is 98, the sharpness value of the sharpness adapting adjusting module is 4, and the contrast value in the contrast adapting adjusting module is 44.
Step four: the method comprises the steps of testing a low-brightness environment, simulating an algorithm, connecting a display after assembly with an external adaptation power supply by using a power supply, testing the display effect of the display under different brightness environments, setting the initial external environment brightness to be 10, setting the initial picture saturation of the display to be 55, setting the initial brightness of a light supplementing tube in a brightness adjusting module to be 90, setting a gray level value of a gray level converting module to be 56, setting an image smoothness value in an image smoothness adjusting module to be 88, setting a sharpness value of a sharpness adapting adjusting module to be 36 and setting a contrast value in a contrast adapting adjusting module to be 76;
step five: setting an initial algorithm triggering condition of a calculation module to be smaller than 50, setting the external environment brightness to be alpha, setting the initial picture saturation to be beta, setting the initial brightness of a light supplementing lamp tube to be gamma, setting a gray level value of a gray level conversion module to be delta, setting an image smoothness value to be epsilon, setting a sharpness value to be zeta and setting a contrast value to be eta according to experimental data obtained under different brightness environments;
step six: setting an algorithm, namely setting an initial algorithm agency of a calculation module to be an equation algorithm of alpha-1=gamma+1 under the condition that the alpha value is 0-100, wherein alpha-1=beta-0.5=delta+0.4=epsilon-0.2=zeta+0.4=eta+0.4, and alpha is less than 50, and triggering an identity regulation algorithm: α -1=γ+1=δ+0.4=ε -0.2=ζ+0.4=η+0.4, a constant image enhancement algorithm is obtained, and an image enhancement effect can be achieved in an environment with insufficient light;
the invention provides an image enhancement device in an environment with insufficient light rays, which comprises a display, an external environment light sensation module, a main control module, an image preprocessing module, a brightness adjusting module, a sensing calculation module, an image enhancement processing module and an execution module, and is characterized in that: the display consists of a display screen, a frame shell, a display circuit board and a power supply, the external environment light sensing module consists of a light intensity sensor and a signal receiving and transmitting assembly, the main control module consists of an AD converter, a control circuit board and a control switch, the image preprocessing module consists of a gray level conversion module, an image smoothness adjusting module and a median filtering adjusting module, the brightness adjusting module consists of a light supplementing tube and a brightness adjusting switch, the sensing calculating module consists of a sensing receiving assembly and a calculating module, the image enhancement processing module consists of a sharpness adaptation adjusting module, a contrast adaptation adjusting module, a geometric correction module and a radiation correction module, the executing module consists of a built-in algorithm system and a shunt executing assembly, and the display, the external environment light sensing module, the main control module, the image preprocessing module, the brightness adjusting module, the sensing calculating module, the image enhancement processing module and the executing module are electrically connected with each other;
according to the first embodiment, the image enhancement algorithm under the environment with insufficient light is obtained, so that the image enhancement requirement of the environment with insufficient pipelines can be met;
examples
The image enhancement algorithm in this light deficient environment is implemented by:
step one: the method comprises the steps of assembling a display, namely assembling an external environment light sensing module, a main control module, an image preprocessing module, a brightness adjusting module, a sensing calculation module, an image enhancement processing module and an execution module at corresponding positions in the display, and completing the whole assembly work of the display;
step two: the method comprises the steps of testing a constant high-brightness environment, connecting a display after assembly with an external adaptation power supply by using a power supply through an analog algorithm, testing the display effect of the display under different brightness environments, setting initial external environment brightness as 100, setting initial picture saturation of the display as 100, setting initial brightness of a light supplementing lamp tube in a brightness adjusting module as 50, setting a gray level initial value of a gray level converting module as 20, setting an image smoothness initial value in an image smoothness adjusting module as 100, setting a median filtering length window initializing calculation formula in a median filtering adjusting module as L=2N+1, setting a sharpness value of a sharpness adapting adjusting module as 0, and setting a contrast value in a contrast adapting adjusting module as 40;
step three: the display after the assembly is connected with an external adaptation power supply by using a power supply by adapting to a brightness environment test and simulating an algorithm, the display effect of the display is tested under different brightness environments, the initial external environment brightness is set to be 80, the initial picture saturation of the display is 85, the brightness of a light supplementing tube in a brightness adjusting module is 50, the gray level of a gray level converting module is 28, the image smoothness value in an image smoothness adjusting module is 96, the sharpness value of the sharpness adapting adjusting module is 8, and the contrast value in the contrast adapting adjusting module is 48.
Step four: the method comprises the steps of testing a low-brightness environment, connecting a display after assembly with an external adaptation power supply by using a power supply through an analog algorithm, testing the display effect of the display under different brightness environments, setting the initial external environment brightness to be 20, setting the initial picture saturation of the display to be 60, setting the initial brightness of a light supplementing tube in a brightness adjusting module to be 70, setting a gray level value of a gray level converting module to be 52, setting an image smoothness value in an image smoothness adjusting module to be 86, setting a sharpness value of a sharpness adapting adjusting module to be 32 and setting a contrast value in a contrast adapting adjusting module to be 72;
step five: setting an initial algorithm triggering condition of a calculation module to be smaller than 50, setting the external environment brightness to be alpha, setting the initial picture saturation to be beta, setting the initial brightness of a light supplementing lamp tube to be gamma, setting a gray level value of a gray level conversion module to be delta, setting an image smoothness value to be epsilon, setting a sharpness value to be zeta and setting a contrast value to be eta according to experimental data obtained under different brightness environments;
step six: setting an algorithm, namely setting an initial algorithm agency of a calculation module to be an equation algorithm of alpha-1=gamma+1 under the condition that the alpha value is 0-100, wherein alpha-1=beta-0.5=delta+0.4=epsilon-0.2=zeta+0.4=eta+0.4, and alpha is less than 50, and triggering an identity regulation algorithm: α -1=γ+1=δ+0.4=ε -0.2=ζ+0.4=η+0.4, a constant image enhancement algorithm is obtained, and an image enhancement effect can be achieved in an environment with insufficient light;
obtaining an image enhancement algorithm in an insufficient light environment according to the second embodiment;
examples
The image enhancement algorithm in this light deficient environment is implemented by:
step one: the method comprises the steps of assembling a display, namely assembling an external environment light sensing module, a main control module, an image preprocessing module, a brightness adjusting module, a sensing calculation module, an image enhancement processing module and an execution module at corresponding positions in the display, and completing the whole assembly work of the display;
step two: the method comprises the steps of testing a constant high-brightness environment, connecting a display after assembly with an external adaptation power supply by using a power supply through an analog algorithm, testing the display effect of the display under different brightness environments, setting initial external environment brightness as 100, setting initial picture saturation of the display as 100, setting initial brightness of a light supplementing lamp tube in a brightness adjusting module as 50, setting a gray level initial value of a gray level converting module as 20, setting an image smoothness initial value in an image smoothness adjusting module as 100, setting a median filtering length window initializing calculation formula in a median filtering adjusting module as L=2N+1, setting a sharpness value of a sharpness adapting adjusting module as 0, and setting a contrast value in a contrast adapting adjusting module as 40;
step three: the display after the assembly is connected with an external adaptation power supply by using a power supply by adapting to a brightness environment test and simulating an algorithm, the display effect of the display is tested under different brightness environments, the initial external environment brightness is set to 70, the initial picture saturation of the display is 85, the brightness of a light supplementing tube in a brightness adjusting module is 50, the gray level of a gray level converting module is 32, the image smoothness value in an image smoothness adjusting module is 94, the sharpness value of the sharpness adapting adjusting module is 12, and the contrast value in the contrast adapting adjusting module is 52.
Step four: the method comprises the steps of testing a low-brightness environment, connecting a display after assembly with an external adaptation power supply by using a power supply through an analog algorithm, testing the display effect of the display under different brightness environments, setting initial external environment brightness to be 30, setting initial picture saturation of the display to be 65, setting initial brightness of a light supplementing tube in a brightness adjusting module to be 70, setting a gray level value of a gray level converting module to be 48, setting an image smoothness value in an image smoothness adjusting module to be 84, setting a sharpness value of the sharpness adjusting module to be 28, and setting a contrast value in the contrast adjusting module to be 68;
step five: setting an initial algorithm triggering condition of a calculation module to be smaller than 50, setting the external environment brightness to be alpha, setting the initial picture saturation to be beta, setting the initial brightness of a light supplementing lamp tube to be gamma, setting a gray level value of a gray level conversion module to be delta, setting an image smoothness value to be epsilon, setting a sharpness value to be zeta and setting a contrast value to be eta according to experimental data obtained under different brightness environments;
step six: setting an algorithm, namely setting an initial algorithm agency of a calculation module to be an equation algorithm of alpha-1=gamma+1 under the condition that the alpha value is 0-100, wherein alpha-1=beta-0.5=delta+0.4=epsilon-0.2=zeta+0.4=eta+0.4, and alpha is less than 50, and triggering an identity regulation algorithm: α -1=γ+1=δ+0.4=ε -0.2=ζ+0.4=η+0.4, a constant image enhancement algorithm is obtained, and an image enhancement effect can be achieved in an environment with insufficient light;
obtaining an image enhancement algorithm in an insufficient light environment according to the third embodiment;
furthermore, the external environment light sensing module, the main control module, the image preprocessing module, the brightness adjusting module, the sensing calculating module, the image enhancement processing module and the executing module are integrally assembled in the display, and the external environment light sensing module, the main control module, the image preprocessing module, the brightness adjusting module, the sensing calculating module, the image enhancement processing module and the executing module are mutually connected in parallel in the display, so that the whole can realize step control work through the connection relation of mutually parallel internal components;
furthermore, the light intensity sensor and the signal receiving and transmitting assembly in the external environment light sensing module are connected in parallel, the AD converter, the control circuit board and the control switch in the main control module are connected in parallel, and the control circuit board and the control switch are electrically connected with the image preprocessing module, the brightness adjusting module, the induction calculating module, the image enhancement processing module and the executing module, so that the whole control operation can be performed quickly and conveniently through an algorithm;
further, the second to fifth steps collect data of each module continuously under different light environments, analog signals of each module are converted into digital signals through the signal receiving and transmitting assembly and the AD converter, the master control module controls the different module assemblies to guide the induction calculation module to execute an execution algorithm according to basic setting of the induction calculation module by using the branch execution assembly, and further technical integration calculation is performed on the data obtained by the basic algorithm, so that an image enhancement algorithm under the light deficient environment is obtained, the algorithm accords with normal use operation of the display under different light intensities, and normal use operation of the whole display under the light deficient environment can be effectively met.
Further, the display comprises display screen, frame shell, display circuit board and power, the external environment light sense module comprises light intensity sensor and signal transceiver module, mutual peucedanum fixed connection between display screen and the frame shell, and display circuit board and power at the regional fixed mounting of display assignment, strong sensor and signal transceiver module are at the inside fixed mounting of external environment light sense module and mutual electric connection.
Further, the main control module is composed of an AD converter, a control circuit board and a control switch, the image preprocessing module is composed of a gray level conversion module, an image smoothness adjusting module and a median filtering adjusting module, the AD converter, the control circuit board and the control switch are in telecommunication connection with each other in the main control module, and the gray level conversion module, the image smoothness adjusting module and the median filtering adjusting module are fixedly installed at appointed positions in the image preprocessing module and are related to each other.
Further, the brightness adjusting module is composed of a light supplementing tube and a brightness adjusting switch, the sensing calculating module is composed of a sensing receiving module and a calculating module, the image enhancement processing module is composed of a sharpness adaptation adjusting module, a contrast adaptation adjusting module, a geometric correction module and a radiation correction module, the execution module is composed of a built-in algorithm system and a shunt execution module, the light supplementing tube and the brightness adjusting switch are electrically connected with each other, and the sharpness adaptation adjusting module, the contrast adaptation adjusting module, the geometric correction module and the radiation correction module are fixedly installed at appointed positions in the image enhancement processing module and are mutually related, and meanwhile the sensing receiving module and the calculating module are electrically connected with each other.
Finally, it should be noted that the above description is only for illustrating the technical solution of the present invention, and not for limiting the scope of the present invention, and that the simple modification and equivalent substitution of the technical solution of the present invention by those skilled in the art will not depart from the spirit and scope of the technical solution of the present invention.
Claims (3)
1. The utility model provides an image enhancement algorithm under light not enough environment, required equipment includes display, outside environment light sense module, main control module, image preprocessing module, luminance adjustment module, response calculation module, image enhancement processing module and execution module, its characterized in that: the display comprises a display screen, a frame shell, a display circuit board and a power supply, the external environment light sensing module comprises a light intensity sensor and a signal receiving and transmitting module, the main control module comprises an AD converter, a control circuit board and a control switch, the image preprocessing module comprises a gray level conversion module, an image smoothness adjusting module and a median filtering adjusting module, the brightness adjusting module comprises a light supplementing lamp tube and a brightness adjusting switch, the sensing calculating module comprises a sensing receiving module and a calculating module, the image enhancement processing module comprises a sharpness adaptation adjusting module, a contrast adaptation adjusting module, a geometric correction module and a radiation correction module, and the execution module comprises a built-in algorithm system and a shunt execution module, and the required equipment obtains an algorithm through the following steps:
step one: the method comprises the steps of assembling a display, namely assembling an external environment light sensing module, a main control module, an image preprocessing module, a brightness adjusting module, a sensing calculation module, an image enhancement processing module and an execution module at corresponding positions in the display, and completing the whole assembly work of the display;
step two: the method comprises the steps of performing constant high-brightness environment test, connecting an assembled display with an external adaptive power supply by using a power supply, testing the display effect of the display under different brightness environments, setting initial external environment brightness as 100, setting initial picture saturation of the display as 100, setting initial brightness of a light supplementing lamp tube in a brightness adjusting module as 50, setting a gray level initial value of a gray level converting module as 20, setting an image smoothness initial value in an image smoothness adjusting module as 100, setting a sharpness value of a sharpness adapting adjusting module as 0 and setting a contrast value in a contrast adapting adjusting module as 40;
step three: the method comprises the steps of adapting to brightness environment test, connecting an assembled display with an external adapting power supply by utilizing a power supply, testing the display effect of the display under different brightness environments, setting initial external environment brightness to be 50-100, setting initial picture saturation of the display to be 75-100, setting brightness of a light supplementing tube in a brightness adjusting module to be 50, setting gray level of a gray level converting module to be 20-40, setting image smoothness value in an image smoothness adjusting module to be 90-100, setting sharpness value of a sharpness adapting adjusting module to be 0-20, and setting contrast value in a contrast adapting adjusting module to be 40-60;
step four: the method comprises the steps of testing a low-brightness environment, connecting a display after assembly with an external adaptation power supply by using a power supply, testing the display effect of the display under different brightness environments, setting initial external environment brightness to be 0-50, setting initial picture saturation of the display to be 50-75, setting initial brightness of a light supplementing tube in a brightness adjusting module to be 50-100, setting gray level of a gray level converting module to be 40-60, setting image smoothness value in an image smoothness adjusting module to be 80-90, setting sharpness value of a sharpness adapting adjusting module to be 20-40, and setting contrast value in a contrast adapting adjusting module to be 60-80;
step five: according to experimental data obtained under different brightness environments, setting the trigger condition of an identity regulation algorithm of a computing module as external environment brightness less than 50, setting the external environment brightness as alpha, setting the initial picture saturation as beta, setting the initial brightness of a light supplementing lamp tube as gamma, setting the gray value of a gray level conversion module as delta, setting the image smoothness value as epsilon, setting the sharpness value as zeta and setting the contrast value as eta;
step six: setting the initial algorithm of the calculation module to be alpha value 0-100, wherein alpha-1=beta-0.5=delta+0.4=epsilon-0.2=zeta+0.4=eta+0.4, when alpha is more than or equal to 50, gamma is unchanged, when alpha is less than 50, alpha-1=gamma+1 is obtained, and an identity regulation algorithm is triggered: β -0.5=α -1=γ+1=δ+0.4=ε -0.2=ζ+0.4=η+0.4, resulting in a constant image enhancement algorithm.
2. The image enhancement algorithm in a low light environment of claim 1, wherein: the external environment light sensing module, the main control module, the image preprocessing module, the brightness adjusting module, the sensing calculation module, the image enhancement processing module and the execution module are integrally assembled inside the display, and the external environment light sensing module, the main control module, the image preprocessing module, the brightness adjusting module, the sensing calculation module, the image enhancement processing module and the execution module are mutually connected in parallel.
3. The image enhancement algorithm in a low light environment of claim 1, wherein: the light intensity sensor and the signal receiving and transmitting assembly in the outer environment light sensing module are mutually connected in parallel, the AD converter, the control circuit board and the control switch in the main control module are mutually connected in parallel, and the control circuit board and the control switch are mutually and electrically connected with the image preprocessing module, the brightness adjusting module, the induction calculating module, the image enhancement processing module and the execution module.
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