CN113628137A - Image enhancement algorithm and device under insufficient light environment - Google Patents
Image enhancement algorithm and device under insufficient light environment Download PDFInfo
- Publication number
- CN113628137A CN113628137A CN202110888207.7A CN202110888207A CN113628137A CN 113628137 A CN113628137 A CN 113628137A CN 202110888207 A CN202110888207 A CN 202110888207A CN 113628137 A CN113628137 A CN 113628137A
- Authority
- CN
- China
- Prior art keywords
- module
- display
- brightness
- setting
- image
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000004422 calculation algorithm Methods 0.000 title claims abstract description 99
- 230000003044 adaptive effect Effects 0.000 claims abstract description 42
- 230000006698 induction Effects 0.000 claims abstract description 40
- 238000012545 processing Methods 0.000 claims abstract description 35
- 238000007781 pre-processing Methods 0.000 claims abstract description 34
- 230000006978 adaptation Effects 0.000 claims abstract description 31
- 238000012937 correction Methods 0.000 claims abstract description 24
- 230000035807 sensation Effects 0.000 claims abstract description 21
- 230000005855 radiation Effects 0.000 claims abstract description 12
- 238000006243 chemical reaction Methods 0.000 claims description 31
- 230000001502 supplementing effect Effects 0.000 claims description 30
- 238000012360 testing method Methods 0.000 claims description 30
- 238000004364 calculation method Methods 0.000 claims description 22
- 238000001914 filtration Methods 0.000 claims description 21
- 230000000694 effects Effects 0.000 claims description 20
- 238000000034 method Methods 0.000 claims description 15
- 230000033228 biological regulation Effects 0.000 claims description 5
- 230000010354 integration Effects 0.000 claims description 3
- 230000007812 deficiency Effects 0.000 abstract description 2
- 239000013589 supplement Substances 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 210000005252 bulbus oculi Anatomy 0.000 description 1
- 230000002950 deficient Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
- 230000003313 weakening effect Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/70—Denoising; Smoothing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/73—Deblurring; Sharpening
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/90—Determination of colour characteristics
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20004—Adaptive image processing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20024—Filtering details
- G06T2207/20032—Median filtering
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Controls And Circuits For Display Device (AREA)
Abstract
The invention discloses an image enhancement algorithm and device under a light deficiency environment, and required equipment comprises a display, an external environment light sensation module, a main control module, an image preprocessing module, a brightness adjusting module, an induction calculating module, an image enhancement processing module and an execution module, wherein the display comprises a display screen, a frame shell, a display circuit board and a power supply, 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. According to the image enhancement algorithm under the environment with insufficient light, all conditions of the external light environment from light to dark are considered, a plurality of groups of adaptive adjusting modules which are different in external environment light attenuation and automatically adjust according to the algorithm are additionally arranged, and different equality algorithms can be implemented according to different light changes of the external light environment so as to achieve image enhancement in the optimal state.
Description
Technical Field
The invention relates to the technical field of image display, in particular to an image enhancement algorithm and device under a light deficiency environment.
Background
The image display is to display and show a designated image on a medium, and the external light environment is an important factor influencing the image intensity in the image display.
The image enhancement mode adopted for image display in the environment with insufficient light formed by weakening of the external bright 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 bright environments and cannot implement different equality algorithms to achieve the final image enhancement effect aiming at different light changes of the external bright environment, the reliability of the brightness enhancement algorithm is general, the comprehensive visual image enhancement is difficult to achieve by the algorithm conforming to the internal structure of the human eyeball to the maximum extent only through adaptive adjustment on brightness, and the overall image enhancement algorithm is general.
Disclosure of Invention
The invention aims to provide an image enhancement algorithm and an image enhancement device in an environment with insufficient light, and aims to solve the problems that the prior art cannot implement different equality algorithms to realize the final image enhancement effect according to different light changes of an external bright environment, and does not have good use reliability.
In order to achieve the purpose, the invention provides the following technical scheme:
in one aspect, the invention provides an image enhancement algorithm in a light-deficient environment, and the required equipment comprises a display, an external environment light sensation module, a main control module, an image preprocessing module, a brightness adjustment module, an induction 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 external environment light sensation module consists of a light intensity sensor and a signal transceiving component, 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 adjustment module and a median filtering adjustment module, the brightness adjustment module consists of a light supplementing lamp tube and a brightness adjustment switch, the induction calculation module consists of an induction receiving component and a calculation module, and the image enhancement processing module consists of a sharpness adaptation adjustment module, a sharpness adjustment module and an execution module, The system comprises a contrast adaptation adjusting module, a geometric correction module and a radiation correction module, wherein the execution module consists of a built-in algorithm system and a shunt execution component, and the required equipment obtains an algorithm through the following steps:
the method comprises the following steps: assembling the display, namely assembling an external ambient light sensing module, a main control module, an image preprocessing module, a brightness adjusting module, an induction calculating module, an image enhancement processing module and an execution module at corresponding positions in the display to complete the integral assembling work of the display;
step two: the method comprises the steps of testing a constant high-brightness environment, simulating an algorithm, connecting a display after assembly with an external adaptive power supply by using the power supply, testing the display effect of the display under different brightness environments, setting the initial external environment brightness to be 100, setting the initial image saturation of the display to be 100, setting the initial brightness of a light supplementing lamp tube in a brightness adjusting module to be 50, setting the gray scale initial value of a gray scale conversion module to be 20, setting the image smoothness initial value in an image smoothness adjusting module to be 100, setting the initialization calculation formula of a median filtering length window in the median filtering adjusting module to be L2N +1, setting the sharpness adaptive adjusting module to be 0, and setting the contrast value in the contrast adaptive adjusting module to be 40;
step three: the adaptive brightness environment test comprises the steps of connecting a display after assembly with an external adaptive power supply by using a power supply, testing the display effect of the display in different brightness environments, setting the initial external environment brightness to be 50-100, setting the initial picture saturation of the display to be 75-100, setting the brightness of a light supplementing lamp tube in a brightness adjusting module to be 50, setting the gray value of a gray level conversion module to be 20-40, setting the image smoothness value in an image smoothness adjusting module to be 90-100, setting the sharpness adaptive adjusting module to be 0-20 and setting the contrast value in a contrast adaptive adjusting module to be 40-60.
Step four: the method comprises the following steps of testing a low-brightness environment, simulating an algorithm, connecting a display after assembly with an external adaptive power supply by using the power supply, testing the display effect of the display under different brightness environments, setting the initial external environment brightness to be 0-50, setting the initial picture saturation of the display to be 50-75, setting the initial brightness of a light supplementing lamp tube in a brightness adjusting module to be 50-100, setting the gray value of a gray level conversion module to be 40-60, setting the image smoothness value in an image smoothness adjusting module to be 80-90, setting the sharpness value of an sharpness adaptation adjusting module to be 20-40, and setting the contrast value in a contrast adaptation adjusting module to be 60-80;
step five: setting an initial algorithm triggering condition of a computing module as that the external environment brightness is less than 50, the external environment brightness is set as alpha, the initial picture saturation is set as beta, the initial brightness of a light supplementing lamp tube is set as gamma, a gray level conversion module gray level value is set as delta, an image smoothness value is set as epsilon, a sharpness value is set as zeta, and a contrast value is set as eta according to experimental data obtained in different brightness environments;
step six: and (3) setting an algorithm, namely setting the initial algorithm of the calculation module to be alpha value 0-100, setting alpha-1 to be beta-0.5 to be delta +0.4 to be epsilon-0.2 to be zeta +0.4 to be eta +0.4, and setting alpha to be less than 50, obtaining an equation algorithm of alpha-1 to be gamma +1, and triggering an identity regulation and control 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 environment light sensation module, the main control module, the image preprocessing module, the brightness adjustment module, the induction calculation module, the image enhancement processing module and the execution module are integrally assembled inside the display, and the environment light sensation module, the main control module, the image preprocessing module, the brightness adjustment module, the induction calculation module, the image enhancement processing module and the execution module are connected in parallel inside the display.
Preferably, the light intensity sensor and the signal transceiving component inside the 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, in the second step to the fifth step, the data of each module are continuously collected in different bright environments, the analog signals of each module are converted into digital signals through the signal transceiving component and the AD converter, the main control module controls different module components to guide the induction computing module to execute the execution algorithm according to the basic setting of the induction computing module by using the shunt execution component, and then the data obtained by the basic algorithm is subjected to technical integration calculation to obtain the image enhancement algorithm in the environment with insufficient light.
In a second aspect, the present invention provides an image enhancement device in an environment with insufficient light, which includes a display, an external environment light sensing module, a main control module, an image preprocessing module, a brightness adjustment module, an induction 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, wherein the external environment light sensation module comprises a light intensity sensor and a signal transceiving component, 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 induction computing module comprises an induction receiving component and a computing module, the image enhancement processing module comprises an acutance 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 component, and the display, the external environment light sensation module, the main control module, the image preprocessing module, the signal transceiving module and the image enhancement module are arranged in parallel The brightness adjusting module, the induction 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 transceiving component, 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 light intensity sensor and the signal transceiving component are fixedly installed inside the external environment light sensing module and are electrically connected with each other.
Preferably, 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 adjustment module and a median filtering adjustment module, the AD converter, the control circuit board and the control switch are in telecommunication connection with each other inside the main control module, and the gray level conversion module, the image smoothness adjustment module and the median filtering adjustment module are fixedly installed at specified positions inside the image preprocessing module and are associated with each other.
Preferably, the brightness adjusting module comprises a light supplementing lamp tube and a brightness adjusting switch, the sensing calculating module comprises a sensing receiving component and a calculating module, the image enhancement processing module comprises an acutance 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 component, the light supplementing lamp tube and the brightness adjusting switch are electrically connected with each other, the acutance adaptation adjusting module, the contrast adaptation adjusting module, the geometric correction module and the radiation correction module are fixedly installed at specified positions inside the image enhancement processing module and are associated with each other, and meanwhile, the sensing receiving component and the calculating module are electrically connected with each other.
The invention has the beneficial effects that: the image enhancement algorithm under the environment with insufficient light is characterized in that all conditions of the external light environment from light to dark are considered, a plurality of groups of adaptive adjusting modules which are different in external light environment light attenuation and are adjusted automatically according to the algorithm are additionally arranged, different equality algorithms can be implemented aiming at different light changes of the external light environment, the image enhancement in the best state is realized, the image enhancement algorithm can be suitable for normal use work under different light environments, the light supplement intensity in the algorithm is further calculated and limited, the light supplement equality algorithm can be implemented on the basis that the external light environment meets the basic calculation requirement, the maximum image brightness can be guaranteed all the time under the condition that different external light environments are bright to the greatest extent, the brightness enhancement of the image is guaranteed, and the reliability of the algorithm is effectively guaranteed.
Drawings
FIG. 1 is a schematic view of a slave structure of the apparatus required by the present invention;
FIG. 2 is a schematic diagram of the algorithm flow structure of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example one
Implementing the image enhancement algorithm in the low-light environment by the following steps:
the method comprises the following steps: assembling the display, namely assembling an external ambient light sensing module, a main control module, an image preprocessing module, a brightness adjusting module, an induction calculating module, an image enhancement processing module and an execution module at corresponding positions in the display to complete the integral assembling work of the display;
step two: the method comprises the steps of testing a constant high-brightness environment, simulating an algorithm, connecting a display after assembly with an external adaptive power supply by using the power supply, testing the display effect of the display under different brightness environments, setting the initial external environment brightness to be 100, setting the initial image saturation of the display to be 100, setting the initial brightness of a light supplementing lamp tube in a brightness adjusting module to be 50, setting the gray scale initial value of a gray scale conversion module to be 20, setting the image smoothness initial value in an image smoothness adjusting module to be 100, setting the initialization calculation formula of a median filtering length window in the median filtering adjusting module to be L2N +1, setting the sharpness adaptive adjusting module to be 0, and setting the contrast value in the contrast adaptive adjusting module to be 40;
step three: the adaptive brightness environment test comprises an adaptive brightness environment test and an analog algorithm, wherein the assembled display is connected with an external adaptive power supply by using a power supply, the display effect of the display is tested under different brightness environments, the initial external environment brightness is set to be 90, the initial picture saturation of the display is 95, the brightness of a light supplementing lamp tube in a brightness adjusting module is 50, the gray level of a gray level conversion module is 24, the image smoothness value in an image smoothness adjusting module is 98, the sharpness of an sharpness adaptive adjusting module is 4, and the contrast of a contrast adaptive adjusting module is 44.
Step four: the method comprises the following steps of testing a low-brightness environment, simulating an algorithm, connecting a display after assembly with an external adaptive 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 lamp tube in a brightness adjusting module to be 90, setting the gray value of a gray level conversion module to be 56, setting the image smoothness value in an image smoothness adjusting module to be 88, setting the sharpness adapting adjusting module to be 36, and setting the contrast value in a contrast adapting adjusting module to be 76;
step five: setting an initial algorithm triggering condition of a computing module as that the external environment brightness is less than 50, the external environment brightness is set as alpha, the initial picture saturation is set as beta, the initial brightness of a light supplementing lamp tube is set as gamma, a gray level conversion module gray level value is set as delta, an image smoothness value is set as epsilon, a sharpness value is set as zeta, and a contrast value is set as eta according to experimental data obtained in different brightness environments;
step six: and (3) setting an algorithm, namely setting the initial algorithm of the calculation module to be alpha value 0-100, setting alpha-1 to be beta-0.5 to be delta +0.4 to be epsilon-0.2 to be zeta +0.4 to be eta +0.4, and setting alpha to be less than 50, obtaining an equation algorithm of alpha-1 to be gamma +1, and triggering an identity regulation and control algorithm: alpha-1 ═ gamma +1 ═ delta +0.4 ═ epsilon-0.2 ═ zeta +0.4 ═ eta +0.4, get the invariable image enhancement algorithm, and can realize the image enhancement effect under the environment of insufficient light;
the invention provides an image enhancement device under an environment with insufficient light, which comprises a display, an external environment light sensation module, a main control module, an image preprocessing module, a brightness adjusting module, an induction computing 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, wherein the external environment light sensation module comprises a light intensity sensor and a signal transceiving component, 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 induction computing module comprises an induction receiving component and a computing module, the image enhancement processing module comprises an acutance 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 component, and the display, the external environment light sensation module, the main control module, the image preprocessing module, the signal transceiving module and the image enhancement module are arranged in parallel The brightness adjusting module, the induction calculating module, the image enhancement processing module and the execution module are electrically connected with each other;
according to the image enhancement algorithm under the environment with insufficient light, the image enhancement requirement of the environment with insufficient pipelines can be met;
example two
Implementing the image enhancement algorithm in the low-light environment by the following steps:
the method comprises the following steps: assembling the display, namely assembling an external ambient light sensing module, a main control module, an image preprocessing module, a brightness adjusting module, an induction calculating module, an image enhancement processing module and an execution module at corresponding positions in the display to complete the integral assembling work of the display;
step two: the method comprises the steps of testing a constant high-brightness environment, simulating an algorithm, connecting a display after assembly with an external adaptive power supply by using the power supply, testing the display effect of the display under different brightness environments, setting the initial external environment brightness to be 100, setting the initial image saturation of the display to be 100, setting the initial brightness of a light supplementing lamp tube in a brightness adjusting module to be 50, setting the gray scale initial value of a gray scale conversion module to be 20, setting the image smoothness initial value in an image smoothness adjusting module to be 100, setting the initialization calculation formula of a median filtering length window in the median filtering adjusting module to be L2N +1, setting the sharpness adaptive adjusting module to be 0, and setting the contrast value in the contrast adaptive adjusting module to be 40;
step three: the adaptive brightness environment test, the simulation algorithm, the display after will accomplishing the assembly utilizes the power to be connected with outside adaptation power, and test the display effect of display under different brightness environment, set up initial external environment luminance to 80, the initial picture saturation of display is 85, the luminance of light filling fluorescent tube is 50 in the luminance adjustment module, grey level conversion module grey level value is 28, the image smoothness value in the image smoothness adjusting module is 96, sharpness adaptation adjusting module sharpness value is 8, the contrast value in the contrast adaptation adjusting module is 48.
Step four: the method comprises the following steps of testing a low-brightness environment, simulating an algorithm, connecting a display after assembly with an external adaptive 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 20, setting the initial picture saturation of the display to be 60, setting the initial brightness of a light supplementing lamp tube in a brightness adjusting module to be 70, setting the gray value of a gray level conversion module to be 52, setting the image smoothness value in an image smoothness adjusting module to be 86, setting the sharpness adapting adjusting module to be 32, and setting the contrast value in a contrast adapting adjusting module to be 72;
step five: setting an initial algorithm triggering condition of a computing module as that the external environment brightness is less than 50, the external environment brightness is set as alpha, the initial picture saturation is set as beta, the initial brightness of a light supplementing lamp tube is set as gamma, a gray level conversion module gray level value is set as delta, an image smoothness value is set as epsilon, a sharpness value is set as zeta, and a contrast value is set as eta according to experimental data obtained in different brightness environments;
step six: and (3) setting an algorithm, namely setting the initial algorithm of the calculation module to be alpha value 0-100, setting alpha-1 to be beta-0.5 to be delta +0.4 to be epsilon-0.2 to be zeta +0.4 to be eta +0.4, and setting alpha to be less than 50, obtaining an equation algorithm of alpha-1 to be gamma +1, and triggering an identity regulation and control algorithm: alpha-1 ═ gamma +1 ═ delta +0.4 ═ epsilon-0.2 ═ zeta +0.4 ═ eta +0.4, get the invariable image enhancement algorithm, and can realize the image enhancement effect under the environment of insufficient light;
obtaining an image enhancement algorithm under the environment with insufficient light according to the second embodiment;
EXAMPLE III
Implementing the image enhancement algorithm in the low-light environment by the following steps:
the method comprises the following steps: assembling the display, namely assembling an external ambient light sensing module, a main control module, an image preprocessing module, a brightness adjusting module, an induction calculating module, an image enhancement processing module and an execution module at corresponding positions in the display to complete the integral assembling work of the display;
step two: the method comprises the steps of testing a constant high-brightness environment, simulating an algorithm, connecting a display after assembly with an external adaptive power supply by using the power supply, testing the display effect of the display under different brightness environments, setting the initial external environment brightness to be 100, setting the initial image saturation of the display to be 100, setting the initial brightness of a light supplementing lamp tube in a brightness adjusting module to be 50, setting the gray scale initial value of a gray scale conversion module to be 20, setting the image smoothness initial value in an image smoothness adjusting module to be 100, setting the initialization calculation formula of a median filtering length window in the median filtering adjusting module to be L2N +1, setting the sharpness adaptive adjusting module to be 0, and setting the contrast value in the contrast adaptive adjusting module to be 40;
step three: the adaptive brightness environment test comprises an adaptive brightness environment test and an analog algorithm, wherein the assembled display is connected with an external adaptive power supply by using a power supply, the display effect of the display is tested under different brightness environments, the initial external environment brightness is set to be 70, the initial picture saturation of the display is 85, the brightness of a light supplementing lamp tube in a brightness adjusting module is 50, the gray level of a gray level conversion module is 32, the image smoothness value in an image smoothness adjusting module is 94, the sharpness of an sharpness adaptive adjusting module is 12, and the contrast of a contrast adaptive adjusting module is 52.
Step four: the method comprises the following steps of testing a low-brightness environment, simulating an algorithm, connecting a display after assembly with an external adaptive 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 30, setting the initial picture saturation of the display to be 65, setting the initial brightness of a light supplementing lamp tube in a brightness adjusting module to be 70, setting the gray value of a gray level conversion module to be 48, setting the image smoothness value in an image smoothness adjusting module to be 84, setting the sharpness adapting adjusting module to be 28, and setting the contrast value in a contrast adapting adjusting module to be 68;
step five: setting an initial algorithm triggering condition of a computing module as that the external environment brightness is less than 50, the external environment brightness is set as alpha, the initial picture saturation is set as beta, the initial brightness of a light supplementing lamp tube is set as gamma, a gray level conversion module gray level value is set as delta, an image smoothness value is set as epsilon, a sharpness value is set as zeta, and a contrast value is set as eta according to experimental data obtained in different brightness environments;
step six: and (3) setting an algorithm, namely setting the initial algorithm of the calculation module to be alpha value 0-100, setting alpha-1 to be beta-0.5 to be delta +0.4 to be epsilon-0.2 to be zeta +0.4 to be eta +0.4, and setting alpha to be less than 50, obtaining an equation algorithm of alpha-1 to be gamma +1, and triggering an identity regulation and control algorithm: alpha-1 ═ gamma +1 ═ delta +0.4 ═ epsilon-0.2 ═ zeta +0.4 ═ eta +0.4, get the invariable image enhancement algorithm, and can realize the image enhancement effect under the environment of insufficient light;
obtaining an image enhancement algorithm under the environment with insufficient light according to the third embodiment;
furthermore, the environment light sensation module, the main control module, the image preprocessing module, the brightness adjusting module, the induction calculating module, the image enhancement processing module and the execution module are integrally assembled inside the display, and the environment light sensation module, the main control module, the image preprocessing module, the brightness adjusting module, the induction calculating module, the image enhancement processing module and the execution module are connected in parallel inside the display, so that the integral step-by-step control work can be realized through the connection relationship of the internal components which are connected in parallel;
furthermore, a light intensity sensor and a signal transceiving component inside the ambient light sensing module are connected in parallel, an AD converter, a control circuit board and a 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, so that the whole ambient light sensing module can be used for performing fast and convenient control operation through an algorithm;
furthermore, the data of each module are continuously collected in different bright environments, the analog signals of each module are converted into digital signals through the signal transceiving component and the AD converter, the main control module controls different module components to guide the induction computing module to execute the execution algorithm according to the basic setting of the induction computing module by utilizing the shunt execution component, and then the data obtained by the basic algorithm are subjected to technical integration calculation to obtain an image enhancement algorithm in the environment with insufficient light, the algorithm accords with the normal use work of the display under different light intensities, and the normal use work of the whole display in the environment with insufficient light can be effectively met.
Furthermore, the display comprises a display screen, a frame shell, a display circuit board and a power supply, the external environment light sensation module comprises a light intensity sensor and a signal transceiving component, 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 transceiving component are fixedly installed inside the external environment light sensation module and are electrically connected with each other.
Furthermore, 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 inside 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 specified positions inside the image preprocessing module and are mutually associated.
Furthermore, the brightness adjusting module comprises a light supplementing lamp tube and a brightness adjusting switch, the sensing calculating module comprises a sensing receiving component and a calculating module, the image enhancement processing module comprises an acutance 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 component, the light supplementing lamp tube and the brightness adjusting switch are electrically connected with each other, the acutance adaptation adjusting module, the contrast adaptation adjusting module, the geometric correction module and the radiation correction module are fixedly installed at specified positions inside the image enhancement processing module and are associated with each other, and meanwhile, the sensing receiving component and the calculating module are electrically connected with each other.
Finally, it should be noted that the above-mentioned contents are only used for illustrating the technical solutions of the present invention, and not for limiting the protection scope of the present invention, and those skilled in the art can make simple modifications or equivalent substitutions on the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.
Claims (8)
1. The utility model provides an image enhancement algorithm under not enough environment of light, required equipment include display, outer environment light sense module, host system, image preprocessing module, adjustting of the lighteness 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, wherein an external environment light sensation module comprises a light intensity sensor and a signal transceiving component, a main control module comprises an AD converter, a control circuit board and a control switch, an image preprocessing module comprises a gray level conversion module, an image smoothness adjusting module and a median filtering adjusting module, a brightness adjusting module comprises a light supplementing lamp tube and a brightness adjusting switch, an induction calculating module comprises an induction receiving component and a calculating module, an image enhancement processing module comprises an acutance adaptation adjusting module, a contrast adaptation adjusting module, a geometric correction module and a radiation correction module, an executing module comprises a built-in algorithm system and a shunt executing component, and required equipment obtains an algorithm through the following steps:
the method comprises the following steps: assembling the display, namely assembling an external ambient light sensing module, a main control module, an image preprocessing module, a brightness adjusting module, an induction calculating module, an image enhancement processing module and an execution module at corresponding positions in the display to complete the integral assembling work of the display;
step two: the method comprises the steps of testing a constant high-brightness environment, simulating an algorithm, connecting a display after assembly with an external adaptive power supply by using the power supply, testing the display effect of the display under different brightness environments, setting the initial external environment brightness to be 100, setting the initial image saturation of the display to be 100, setting the initial brightness of a light supplementing lamp tube in a brightness adjusting module to be 50, setting the gray scale initial value of a gray scale conversion module to be 20, setting the image smoothness initial value in an image smoothness adjusting module to be 100, setting the initialization calculation formula of a median filtering length window in the median filtering adjusting module to be L2N +1, setting the sharpness adaptive adjusting module to be 0, and setting the contrast value in the contrast adaptive adjusting module to be 40;
step three: the adaptive brightness environment test comprises the steps of connecting a display after assembly with an external adaptive power supply by using a power supply, testing the display effect of the display in different brightness environments, setting the initial external environment brightness to be 50-100, setting the initial picture saturation of the display to be 75-100, setting the brightness of a light supplementing lamp tube in a brightness adjusting module to be 50, setting the gray value of a gray level conversion module to be 20-40, setting the image smoothness value in an image smoothness adjusting module to be 90-100, setting the sharpness adaptive adjusting module to be 0-20 and setting the contrast value in a contrast adaptive adjusting module to be 40-60.
Step four: the method comprises the following steps of testing a low-brightness environment, simulating an algorithm, connecting a display after assembly with an external adaptive power supply by using the power supply, testing the display effect of the display under different brightness environments, setting the initial external environment brightness to be 0-50, setting the initial picture saturation of the display to be 50-75, setting the initial brightness of a light supplementing lamp tube in a brightness adjusting module to be 50-100, setting the gray value of a gray level conversion module to be 40-60, setting the image smoothness value in an image smoothness adjusting module to be 80-90, setting the sharpness value of an sharpness adaptation adjusting module to be 20-40, and setting the contrast value in a contrast adaptation adjusting module to be 60-80;
step five: setting an initial algorithm triggering condition of a computing module as that the external environment brightness is less than 50, the external environment brightness is set as alpha, the initial picture saturation is set as beta, the initial brightness of a light supplementing lamp tube is set as gamma, a gray level conversion module gray level value is set as delta, an image smoothness value is set as epsilon, a sharpness value is set as zeta, and a contrast value is set as eta according to experimental data obtained in different brightness environments;
step six: and (3) setting an algorithm, namely setting the initial algorithm of the calculation module to be alpha value 0-100, setting alpha-1 to be beta-0.5 to be delta +0.4 to be epsilon-0.2 to be zeta +0.4 to be eta +0.4, and setting alpha to be less than 50, obtaining an equation algorithm of alpha-1 to be gamma +1, and triggering an identity regulation and control algorithm: 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 according to claim 1, wherein: the environment light sensation module, the main control module, the image preprocessing module, the brightness adjusting module, the induction calculating module, the image enhancement processing module and the execution module are integrally assembled inside the display, and the environment light sensation module, the main control module, the image preprocessing module, the brightness adjusting module, the induction calculating module, the image enhancement processing module and the execution module are connected in parallel with each other on the display.
3. The image enhancement algorithm according to claim 1, wherein: the light intensity sensor and the signal receiving and transmitting assembly in the 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.
4. The image enhancement algorithm according to claim 1, wherein: and step two to step five, continuously acquiring data of each module in different bright environments, converting analog signals of each module into digital signals through the signal transceiving component and the AD converter, controlling different module components through the main control module to guide the induction computing module to execute an execution algorithm according to basic setting of the induction computing module by utilizing the shunt execution component, and further performing technical integration calculation on the data obtained by the basic algorithm to obtain an image enhancement algorithm in the environment with insufficient light.
5. The utility model provides an image enhancement device under not enough environment of light, includes display, outer environment light sense module, host system, image preprocessing module, adjustting of the lighteness 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, wherein the external environment light sensation module comprises a light intensity sensor and a signal transceiving component, 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 induction computing module comprises an induction receiving component and a computing module, the image enhancement processing module comprises an acutance 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 component, and the display, the external environment light sensation module, the main control module, the image preprocessing module, the signal transceiving module and the image enhancement module are arranged in parallel The brightness adjusting module, the induction calculating module, the image enhancement processing module and the executing module are electrically connected with each other.
6. The apparatus of claim 5, wherein the image intensifier comprises: the display comprises a display screen, a frame shell, a display circuit board and a power supply, wherein the external environment light sensation module comprises a light intensity sensor and a signal transceiving component, the display screen and the frame shell are fixedly connected with each other, the display circuit board and the power supply are fixedly arranged in a designated area of the display, and the strong sensor and the signal transceiving component are fixedly arranged in the external environment light sensation module and are electrically connected with each other.
7. The apparatus of claim 5, wherein the image intensifier comprises: the image preprocessing module comprises a gray level conversion module, an image smoothness adjusting module and a median filtering adjusting module, wherein the AD converter, the control circuit board and the control switch are in telecommunication connection with each other inside 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 specified positions inside the image preprocessing module and are associated with each other.
8. The apparatus of claim 5, wherein the image intensifier comprises: the brightness adjusting module consists of a light supplementing lamp tube and a brightness adjusting switch, the induction calculating module consists of an induction receiving component and a calculating module, the image enhancement processing module consists of an acutance 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 component, the light supplementing lamp tube and the brightness adjusting switch are mutually and electrically connected, the acutance adaptation adjusting module, the contrast adaptation adjusting module, the geometric correction module and the radiation correction module are fixedly installed at specified positions inside the image enhancement processing module and are mutually associated, and meanwhile, the induction receiving component and the calculating module are mutually and electrically connected.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202110888207.7A CN113628137B (en) | 2021-08-03 | 2021-08-03 | Image enhancement algorithm and device under light deficient environment |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202110888207.7A CN113628137B (en) | 2021-08-03 | 2021-08-03 | Image enhancement algorithm and device under light deficient environment |
Publications (2)
Publication Number | Publication Date |
---|---|
CN113628137A true CN113628137A (en) | 2021-11-09 |
CN113628137B CN113628137B (en) | 2024-04-16 |
Family
ID=78382560
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202110888207.7A Active CN113628137B (en) | 2021-08-03 | 2021-08-03 | Image enhancement algorithm and device under light deficient environment |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN113628137B (en) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN116777795A (en) * | 2023-08-21 | 2023-09-19 | 江苏游隼微电子有限公司 | Luminance mapping method suitable for vehicle-mounted image |
Citations (13)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1241098A (en) * | 1998-06-29 | 2000-01-12 | Lg电子株式会社 | Apparatus and method for auto-adjusting image state of display in video display appliance |
JP2002125125A (en) * | 2000-07-31 | 2002-04-26 | Seiko Epson Corp | Image display system of environment adaptation type, program and information storage medium |
CN101098489A (en) * | 2006-06-27 | 2008-01-02 | 三星电子株式会社 | Image processing apparatus and method of enhancing visibility of displayed image |
CN102726036A (en) * | 2010-02-02 | 2012-10-10 | 微软公司 | Enhancement of images for display on liquid crystal displays |
CN102800301A (en) * | 2011-05-27 | 2012-11-28 | 联咏科技股份有限公司 | Display device and image compensation method thereof |
CN104050948A (en) * | 2014-06-24 | 2014-09-17 | 深圳市鸿宇顺科技有限公司 | Display method and system capable of automatically increasing image contrast |
CN104700784A (en) * | 2013-12-06 | 2015-06-10 | 大连鑫永工业制造有限公司 | Multi-color electronic display screen system of reader |
CN105118474A (en) * | 2015-10-16 | 2015-12-02 | 青岛海信电器股份有限公司 | LCD brightness control method and device as well as LCD equipment |
US20170116712A1 (en) * | 2015-10-21 | 2017-04-27 | Chunghwa Picture Tubes, Ltd. | Image enhancement method and image processing apparatus thereof |
CN106780375A (en) * | 2016-12-02 | 2017-05-31 | 南京邮电大学 | A kind of image enchancing method under low-light (level) environment |
EP3425619A1 (en) * | 2017-07-06 | 2019-01-09 | Thomson Licensing | Method and device for adapting a display visibility |
US10621925B1 (en) * | 2015-08-31 | 2020-04-14 | Jl Marine Systems, Inc. | Method of enhancing the visibility of screen images |
KR102225161B1 (en) * | 2020-07-24 | 2021-03-08 | 고지현 | An apparatus and method to high quality image implementation technology for improving outdoor visibility of LED display Board |
-
2021
- 2021-08-03 CN CN202110888207.7A patent/CN113628137B/en active Active
Patent Citations (13)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1241098A (en) * | 1998-06-29 | 2000-01-12 | Lg电子株式会社 | Apparatus and method for auto-adjusting image state of display in video display appliance |
JP2002125125A (en) * | 2000-07-31 | 2002-04-26 | Seiko Epson Corp | Image display system of environment adaptation type, program and information storage medium |
CN101098489A (en) * | 2006-06-27 | 2008-01-02 | 三星电子株式会社 | Image processing apparatus and method of enhancing visibility of displayed image |
CN102726036A (en) * | 2010-02-02 | 2012-10-10 | 微软公司 | Enhancement of images for display on liquid crystal displays |
CN102800301A (en) * | 2011-05-27 | 2012-11-28 | 联咏科技股份有限公司 | Display device and image compensation method thereof |
CN104700784A (en) * | 2013-12-06 | 2015-06-10 | 大连鑫永工业制造有限公司 | Multi-color electronic display screen system of reader |
CN104050948A (en) * | 2014-06-24 | 2014-09-17 | 深圳市鸿宇顺科技有限公司 | Display method and system capable of automatically increasing image contrast |
US10621925B1 (en) * | 2015-08-31 | 2020-04-14 | Jl Marine Systems, Inc. | Method of enhancing the visibility of screen images |
CN105118474A (en) * | 2015-10-16 | 2015-12-02 | 青岛海信电器股份有限公司 | LCD brightness control method and device as well as LCD equipment |
US20170116712A1 (en) * | 2015-10-21 | 2017-04-27 | Chunghwa Picture Tubes, Ltd. | Image enhancement method and image processing apparatus thereof |
CN106780375A (en) * | 2016-12-02 | 2017-05-31 | 南京邮电大学 | A kind of image enchancing method under low-light (level) environment |
EP3425619A1 (en) * | 2017-07-06 | 2019-01-09 | Thomson Licensing | Method and device for adapting a display visibility |
KR102225161B1 (en) * | 2020-07-24 | 2021-03-08 | 고지현 | An apparatus and method to high quality image implementation technology for improving outdoor visibility of LED display Board |
Non-Patent Citations (2)
Title |
---|
王小元;张红英;吴亚东;刘言;: "基于视觉感知的低照度图像增强算法", 计算机工程, no. 08, 15 August 2016 (2016-08-15), pages 249 - 254 * |
苏浩楠: "感知图像增强及其在显示增强和视觉监控上的应用", 《中国博士学位论文全文数据库(电子期刊)》, vol. 2019, no. 8, 15 August 2019 (2019-08-15), pages 138 - 86 * |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN116777795A (en) * | 2023-08-21 | 2023-09-19 | 江苏游隼微电子有限公司 | Luminance mapping method suitable for vehicle-mounted image |
CN116777795B (en) * | 2023-08-21 | 2023-10-27 | 江苏游隼微电子有限公司 | Luminance mapping method suitable for vehicle-mounted image |
Also Published As
Publication number | Publication date |
---|---|
CN113628137B (en) | 2024-04-16 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN112289280B (en) | Screen brightness adjusting method and device, computer readable medium and electronic equipment | |
US10568178B2 (en) | Color temperature adjustment method and device, light source, display apparatus | |
US8508556B2 (en) | Image display method | |
CN100448280C (en) | Self adaptive image display method for environment light | |
CN105513019B (en) | A kind of method and apparatus promoting picture quality | |
KR101006050B1 (en) | The correction process of led electric sign | |
CN110164397B (en) | Blue light protection device and method based on medical display | |
CN113628137A (en) | Image enhancement algorithm and device under insufficient light environment | |
CN109599054A (en) | The control method and device of display panel brightness | |
CN102148936A (en) | High dynamic range imaging optimization method and device | |
CN112840636A (en) | Image processing method and device | |
CN104994364A (en) | Image processing method and apparatus | |
CN106370296B (en) | The detection method and system of a kind of mobile terminal optical sensor to ambient light | |
CN110113510A (en) | A kind of real time video image Enhancement Method and high speed camera system | |
CN105208186A (en) | Prompt mode adjusting device, method and mobile terminal | |
CN108172167A (en) | Portable ultrasonic equipment shows correction system | |
CN102354489B (en) | Method and device for widening dynamic range of image | |
KR20150128168A (en) | White balancing device and white balancing method thereof | |
CN114596227A (en) | Device and method for enhancing fault arc image of direct current transmission line under dark background | |
CN112887597A (en) | Image processing method and device, computer readable medium and electronic device | |
CN209312420U (en) | A kind of display with curve self-adapting | |
CN101542582B (en) | Method and apparatus for enhancing the dynamic range of an image | |
US11908371B2 (en) | Automatic gamma adjustment system with environmental adaptability | |
CN115762424A (en) | Automatic regulating circuit and electronic equipment of display screen luminance | |
CN117528859A (en) | Sky lamp control method and system for simulating sky illumination |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |