TW201618073A - Display device and image segment adjustment method thereof - Google Patents

Abstract

A display device displays an image segment composed by a plurality of continuously images. The display device includes a detecting module, a controlling module, a logic operating module, and an image processing module. The detecting module determines whether the image segment is active for generating a corresponding state signal, and respectively calculates pixel numbers corresponding to different specified features in the current image for generating a feature signal. The controlling module generates a controlling signal. The logic operation module collects the status signal, the controlling signal, and the feature signal to generate an adjusting signal. The image processing module processes the image segment in different manners based on the adjusting signal. A related image segment adjustment method are also provided.

Description

Display device and image data adjustment method

The present invention relates to a display device and an image data adjustment method.

The display device is used to display a video consisting of several consecutive images that can be specially processed for video with specific features to improve the display quality of the video. However, when the displayed video has corresponding features, the image display device still performs special processing on it. For example, an image display device having an edge enhancement processing function performs edge enhancement processing on a video without displaying a sharp edge, which may cause distortion of the video display and consume a large amount of power.

In view of this, it is necessary to provide a display device that performs different processing modes for different types of images.

In addition, it is necessary to provide an image data adjustment method.

A display device for playing back image data composed of a plurality of consecutive images. The display device comprises a receiving module, a detecting module, a control module, a logic computing module and an image processing module. The detecting module is configured to detect whether the image data is dynamic to output a state signal, and simultaneously accumulate and detect the total number of pixels corresponding to each feature category to output the feature signal. The control module is configured to output a control signal to the logic operation module. The logic operation module is configured to perform logic operations on the received status signal, the characteristic signal, and the control signal, and output the adjustment signal. The image processing module processes the image data in different ways according to the adjustment signal.

A dynamic image data detecting method is used for detecting whether image data is dynamic image data, and the moving image data detecting method comprises the following steps:

Downsampling the current image and receiving a control signal;

Detecting and accumulating the total number of pixels corresponding to various feature categories;

Detecting whether the image data is dynamic image data;

If the image data is dynamic image data, the corresponding state signal is output according to the current image state;

Outputting the feature signal according to the comparison result of the total number of pixels of the various feature categories and the corresponding reference value;

The state signal, the characteristic signal, and the control signal are logically operated, and the adjustment signal is output;

Adjust the image data in a corresponding way according to the adjustment signal.

By using the above display device and the image data adjustment method, different image processing methods are adopted by detecting the type of the image to be displayed, thereby improving the display quality of the display device.

1 is a block diagram of a display device of a preferred embodiment.

2 is a block diagram of the control module, the logic operation module, and the image processing module shown in FIG. 1.

Figure 3 is a flow chart of the adjustment of moving image data.

4 is a flow chart of whether the image in FIG. 3 is dynamic image data.

FIG. 5 is a flow chart of setting the current image state in FIG.

FIG. 6 is a flow chart of outputting a corresponding status signal according to the current image state in FIG. 4.

FIG. 7 is a flow chart of detecting and accumulating the total number of pixels corresponding to various feature categories in FIG.

Please refer to FIG. 1 , which is a block diagram of a display device 100 of a preferred embodiment. The display device 100 is configured to receive image data having different image features, and perform image display according to the image features when the image data is dynamic image data. Among them, the image data is composed of a plurality of consecutive images. In this embodiment, the image may have first to fourth image features, and the four image features may be associated with edges, colors, backlights, and contrast of the image, respectively.

The display device 100 includes a receiving module 10, a detecting module 20, a control module 30, a logic computing module 40, an image processing module 50, and a display module 60. In the present embodiment, the receiving module 10, the detecting module 20, the control module 30, the logic computing module 40, the image processing module 50, and the display module 60 are integrated in the driving chip of the display device 100. In other embodiments, the receiving module 10, the detecting module 20, the control module 30, the logic computing module 40, the image processing module 50, and the display module 60 can also be independent chips that communicate with the driving chip. .

The receiving module 10 is configured to receive image data.

The detecting module 20 sequentially sets the state of each image in the image data to detect whether the image data is dynamic image data, and outputs an image state signal when the image data is moving image data, and simultaneously accumulates and detects The total number of pixels corresponding to each feature category is used to output a feature signal. The detection module 20 includes a sampling unit 21, an image state setting unit 23, a state detecting unit 25, and a feature detecting unit 27.

The sampling unit 21 samples the current image to form a sample image.

The image state setting unit 23 is configured to perform format conversion on the sampled image, acquire feature values of the converted current image, and set a state of the current image according to the acquired feature values. Specifically, the image state setting unit 23 presets a limit value. The image state setting unit 23 calculates a difference between the feature values of the previous image and the current image, compares the difference between the difference value and the limit value, and sets the state of the current image according to the comparison result and the state of the previous image. . If the difference is smaller than the limit value and the state of the previous image is static, the image state setting unit 23 sets the current image state to be dynamic. If the difference is greater than or equal to the limit value and the state of the previous image is static, the image state setting unit 23 sets the current image state to be static. In this embodiment, the feature value is the brightness of the current image, that is, the sum of the grayscale values of all the pixels of the current image. In a modified embodiment, the feature value may be an average grayscale value of all pixels of the current image; specifically, the image state setting unit 23 uses the RGB mode image data as the YUV mode image data to facilitate statistical grayscale values. In other embodiments, the feature values may also be other data that characterize changes in image content.

The state detecting unit 25 is configured to detect whether the image data is dynamic image data. When the image data is the moving image data, the state detecting unit 25 outputs the first state signal; if the image data is the static image data, the state detecting unit 25 outputs the second state signal.

Specifically, the state detecting unit 25 is preliminarily provided with a predetermined value, a first threshold, a second threshold, an upper limit, and a lower limit. The first threshold is less than the second threshold. The state detecting unit 25 detects the current image state when the accumulated number of images is equal to a predetermined value. If the current image state is dynamic, the state detecting unit 25 adds the count value to the first threshold, and detects the calculated count value and the upper limit value and the previous image state. If the calculated count value is greater than the upper limit value and the previous image state is dynamic, then the moving image data is, and the state detecting unit 25 resets the accumulated image number and outputs the first state signal. If the calculated value is less than or equal to the upper limit value or the previous image state is static, the state detecting unit 25 compares whether the calculated count value is less than or equal to the lower limit value and whether the previous image state is static. If the calculated count value is less than or equal to the lower limit value and the previous image state is static, then the still image data, the state detecting unit 25 resets the accumulated image number and outputs the second state signal. If the calculated count value is greater than the lower limit value or the previous image state is dynamic, the state detecting unit 25 resets the accumulated image number and outputs a status signal corresponding to the previous image data.

If the current image state is static, the state detecting unit 25 subtracts the count value from the second threshold, and detects whether the calculated count value is less than or equal to the lower limit value and whether the previous image state is static. If the calculated count value is less than or equal to the lower limit value and the previous image state is static, then the still image data, the state detecting unit 25 resets the accumulated image number and outputs the second state signal. If the calculated count value is greater than the lower limit value or the previous image state is dynamic, the state detecting unit 25 resets the accumulated image number and outputs a status signal corresponding to the previous image data. In this embodiment, the predetermined number is set by the user; the status signal is a 1-bit logical digit signal.

The feature detecting unit 27 is configured to accumulate the total number of pixels corresponding to each feature category to output a feature signal, compare the total number of pixels of each feature with a corresponding reference value, and output the feature signal according to the comparison result. The feature category includes a first feature category, a second feature category, a third feature category, and a fourth feature category. Any one of the images may have a first feature category, a second feature category, a third feature category, and/or a fourth feature category, or any combination of the above features. The feature signal consists of several feature sub-signals. In this embodiment, the feature signal includes a first feature sub-signal, a second feature sub-signal, a third feature sub-signal, and a feature sub-signal, respectively, and the first feature category, the second feature category, the third feature category, and the Four feature categories correspond one-to-one. Each feature sub-signal can be a first signal or a second signal. The first signal represents that the image data has corresponding attributes, and the second signal represents that the image data does not have corresponding attributes. In this embodiment, the first signal is a high level signal, and the second signal is a low level signal.

Specifically, the feature detecting unit 27 has a first reference value, a second reference value, a third reference value, and a fourth reference value, and is respectively associated with the first feature category, the second feature category, the third feature category, and the fourth feature category. One-to-one correspondence. The sampled image includes a first parameter, a second parameter, and a third parameter. The feature detecting unit 27 calculates the difference between the first parameter, the second parameter, and the third parameter, and compares the difference between the difference and the first reference value. If any of the differences is less than the first reference value, the number of pixels having the first feature category is accumulated.

The feature detecting unit 27 compares the maximum value of the first parameter, the second parameter, and the third parameter with the second reference value. If the maximum value is greater than the second reference value, the number of pixels having the second feature category is accumulated.

The feature detecting unit 27 compares the minimum value among the first parameter, the second parameter, and the third parameter with the third reference value. If the minimum value is less than or equal to the third reference value, the number of pixels having the third feature category is accumulated.

The feature detecting unit 27 subtracts the maximum value from the minimum value among the first parameter, the second parameter, and the third parameter, and compares the difference value with the fourth reference value. If the difference is less than or equal to the fourth reference value, the number of pixels having the fourth feature category is accumulated.

Referring to FIG. 2, the control module 30 is configured to output a plurality of control signals to the logic operation module 40. The control signal includes a first reference feature signal, a second reference feature signal, a third reference feature signal, and a fourth reference feature signal, respectively, and the first feature category, the second feature category, the third feature category, and the fourth feature. The categories correspond one-to-one.

The logic operation module 40 is configured to perform logic operations on the received status signal, the characteristic signal, and the control signal, and output the adjustment signal to the image processing module 50. The adjustment signal includes a first adjustment signal, a second adjustment signal, a third adjustment signal, and a fourth adjustment signal. In this embodiment, the logic operation module 40 performs an AND operation on the reference feature signal and the feature signal to extract a corresponding feature sub-signal, and then performs an OR operation on the extracted feature sub-signal to obtain a control signal, and controls the signal and the status signal. Output as an adjustment signal.

The image processing module 50 adjusts the image data in different ways according to the adjustment signal. The image processing module 50 performs edge adjustment on the image data according to the first adjustment signal. According to the second adjustment signal, the image processing module 50 performs color adjustment on the image data. According to the third adjustment signal, the image processing module 50 performs backlight adjustment on the image data. According to the fourth adjustment signal, the image processing module 50 performs contrast adjustment on the image data. In other embodiments, the image processing module 50 can also perform processing on the image data only according to the state signal adjustment.

The display module 60 is configured to display the processed image data.

Specifically, the control module 30 includes a first control unit 31, a second control unit 32, a third control unit 34, and a fourth control unit 36. The logic operation module 40 includes a first operation unit 41, a second operation unit 43, a third operation unit 45, and a fourth operation unit 47. The image processing module 50 includes a first adjustment unit 51, a second adjustment unit 52, a third adjustment unit 54, and a fourth adjustment unit 56. The first adjusting unit 51 is configured to adjust the edge of the image; the second adjusting unit 52 is configured to adjust the color of the image; the third adjusting unit 54 is configured to adjust the backlight of the image; and the fourth adjusting unit 56 is configured to adjust the image. Contrast. The first control unit 31 outputs a first reference feature signal. The second control unit 32 outputs a second reference feature signal. The third control unit 34 outputs a third reference feature signal. The fourth control unit 36 outputs a fourth reference feature signal.

The first operation unit 41 performs an AND operation on the feature signal and the first reference feature signal to extract the feature sub-signal associated with the first adjustment unit 51, and performs an OR operation on the extracted feature sub-signal, and the operation result and the status signal are simultaneously output to The first adjustment unit 51. When the image data contains an image having the first feature category and is dynamic image data, the first adjusting unit 51 is turned on.

The second operation unit 43 performs an AND operation on the feature signal and the first reference feature signal to extract the feature sub-signal associated with the second adjustment unit 52, and performs an OR operation on the extracted feature sub-signal, and simultaneously outputs the operation result and the status signal to the The second adjustment unit 52. When the image data contains an image having the second feature category and is dynamic image data, the second adjustment unit 52 is turned on.

The third operation unit 45 performs an AND operation on the feature signal and the third reference feature signal to extract the feature sub-signal associated with the third adjustment unit 54 , and performs an OR operation on the extracted feature sub-signal, and the operation result and the status signal are simultaneously output to The third adjustment unit 54. When the image data includes an image having the third feature category and is dynamic for the image data, the third adjustment unit 54 is turned on.

The fourth operation unit 47 performs an AND operation on the feature signal and the fourth reference feature signal to extract the feature sub-signal associated with the fourth adjustment unit 56, and performs an OR operation on the extracted feature sub-signal to perform an OR operation with the status signal to obtain an output. Up to the fourth adjustment unit 56. When the image material contains an image having the fourth feature category and is dynamic for the image material, the fourth adjustment unit 56 is turned on.

For example, when the feature signal is [1, 0, 1, 0] and the status signal is 1, if the first adjustment unit 51 is associated with the first feature, the second feature, and the third feature, the first reference feature signal is [1,1,1,0]. The first operation unit 41 performs an AND operation on [1, 0, 1, 0] and [1, 1, 1, 0], and extracts 1, 0, 1 to perform an OR operation to obtain 1 to control the first adjustment unit 51 to be turned on. Further, the image data is edge-adjusted.

The display device 100 performs different adjustments according to the characteristics of the image data when playing the moving image data, thereby improving the display quality of the display device 100, and saving the image data of the display device 100 displaying different image features. The consumption of electricity.

Please refer to FIG. 3 , which is a flowchart of an image data adjustment method for adjusting an image data display effect.

In step S31, the current image is downsampled and receives a plurality of control signals. The control signal includes a first reference feature signal, a second reference feature signal, a third reference feature signal, and a fourth reference feature signal, respectively, and the first feature category, the second feature category, the third feature category, and the fourth feature. The categories correspond one-to-one.

In step S32, the total number of pixels corresponding to the various feature categories is detected and accumulated. The feature category includes a first feature category, a second feature category, a third feature category, and a fourth feature category, and the first reference feature signal, the second reference feature signal, the third reference feature signal, and the fourth reference feature, respectively. The signals correspond one by one. Any one of the images may have a first feature category, a second feature category, a third feature category, and/or a fourth feature category, or any combination of the above features.

Step S33, detecting whether the image data is dynamic image data. If the image data is moving image data, it is dynamic image data, and step S34 is performed. If the image data is still image data, it is dynamic image data, and step S31 is performed.

Step S34, outputting a corresponding status signal according to the current image state.

In step S35, the feature signal is output according to the comparison result of the total number of pixels of the various feature categories and the corresponding reference value. The feature signal is composed of a plurality of feature sub-signals. In this embodiment, the feature signal includes a first feature sub-signal, a second feature sub-signal, a third feature sub-signal, and a feature sub-signal, respectively, and the first feature category, the second feature category, the third feature category, and the Four feature categories correspond one-to-one.

In step S36, the status signal, the characteristic signal, and the control signal are logically operated, and the adjustment signal is output. The adjustment signal includes a first adjustment signal, a second adjustment signal, a third adjustment signal, and a fourth adjustment signal. In this embodiment, the reference feature signal and the feature signal are ANDed to extract the corresponding feature sub-signal, and the extracted feature sub-signal is ORed to obtain a control signal, and the control signal and the status signal are output as the adjustment signal.

In step S37, the image data is adjusted in a corresponding manner according to the adjustment signal. Wherein, the image data is edge-adjusted according to the first adjustment signal; the image data is color-adjusted according to the second adjustment signal; the image data is back-light adjusted according to the third adjustment signal; and the image data is adjusted according to the fourth adjustment signal Make contrast adjustments.

Referring to FIG. 4, in the step of detecting and accumulating the total number of pixels corresponding to the various feature categories, the method further includes the following steps:

Step S301: Extract any one of the first parameter, the second parameter, and the third parameter of the image as an absolute value of the difference.

Step S302, detecting whether the absolute value of the difference is smaller than the first reference value. If the absolute value of the difference is less than the first reference value, step S303 is performed. If the absolute value of the difference is greater than or equal to the first reference value, step S304 is performed.

Step S303, accumulating the number of pixels having the first feature category.

Step S304, extracting a maximum value of the first parameter, the second parameter, and the third parameter of the current image extraction current image.

Step S625, detecting whether the absolute value of the maximum value is greater than the first reference value. If the absolute value of the maximum value is greater than the second reference value, step S306 is performed. If the absolute value of the maximum value is less than or equal to the second reference value, step S307 is performed.

Step S306, accumulating the number of pixels having the second feature category.

Step S307, extracting a minimum value of the first parameter, the second parameter, and the third parameter of the current image extraction current image.

Step S308, detecting whether the absolute value of the difference is smaller than a third reference value. If the absolute value of the difference is less than the third reference value, step S309 is performed. If the absolute value of the difference is greater than or equal to the third reference value, step S310 is performed.

In step S309, the number of pixels having the third feature category is accumulated.

Step S310, obtaining an absolute value of the difference between the maximum value and the minimum value.

Step S311, detecting whether the absolute value of the difference is less than or equal to the first reference value. If the absolute value of the difference is less than or equal to the fourth reference value, step S312 is performed. If the absolute value of the difference is greater than the fourth reference value, step S33 is performed.

In step S312, the number of pixels having the fourth feature category is accumulated.

Referring to FIG. 5, in the step of detecting whether the image data is dynamic image data, the method further includes the following steps:

In step S331, the current image state is set.

In step S332, the number of images is accumulated.

Step S333, detecting whether the accumulated image number is greater than a predetermined value. In the present embodiment, the predetermined value can be set by the user. If the cumulative number of images is greater than the predetermined value, step S334 is performed. If the cumulative number of images is less than or equal to the predetermined value, step S331 is performed.

Step S334, outputting a corresponding status signal according to the current image state. The feature signal consists of several feature sub-signals. Each feature sub-signal can be a first signal or a second signal. The first signal represents that the image data has corresponding attributes, and the second signal represents that the image data does not have corresponding attributes. In this embodiment, the first signal is a high level signal, and the second signal is a low level signal.

Referring to FIG. 6, in the step of setting the current image state, the method further includes the following steps:

Step S3321, the sampled image is converted to count image feature values. In the present embodiment, the RGB mode image is converted into a YUV mode image.

In step S3312, the feature value of the sampled image is calculated. In the present embodiment, the feature value is the sum of the brightness of the current image. In other embodiments, the feature values may also be other data that characterize changes in image content.

Step S3313, detecting whether the absolute value of the difference between the current image and the previous image feature value is less than the limit value and whether the previous image is a static image. If the difference is less than the limit value and the state of the previous image is static, step S3314 is performed. If the difference is greater than or equal to the limit value or the state of the previous image is dynamic, step S3315 is performed.

In step S3314, the current image state is set to be static.

In step S3315, the current image state is set to be static.

Referring to FIG. 7, in the step of outputting the corresponding status signal according to the current image state, the method further includes the following steps:

In step S341, it is detected whether the current image state is dynamic.

In step S352, the count value is added to the first threshold, and step S344 is performed.

In step S343, the count value is subtracted from the second threshold, and step S344 is performed. The first threshold is less than the second threshold.

Step S344, detecting whether the count value is greater than the upper limit value and whether the previous image state is dynamic. If the count value is greater than the upper limit value and the previous image state is dynamic, then it is the moving image data, and step S346 is performed. If the count value is less than or equal to the upper limit value or the previous image state is static, step S345 is performed.

In step S345, it is detected whether the count value is less than or equal to the lower limit value and whether the previous image state is static. If the count value is less than or equal to the lower limit value and the previous image state is static, then it is the moving image data, and step S347 is performed. If the count value is greater than the lower limit value or the previous image state is dynamic, it is the moving image data, and step S348 is performed.

Step S346, resetting the accumulated pixel number and outputting the first status signal.

Step S347, resetting the accumulated pixel number and outputting the second status signal.

Step S348, resetting the accumulated pixel number and outputting the status signal corresponding to the previous image data.

In summary, the present invention complies with the requirements of the invention patent and submits a patent application according to law. However, the above description is only a preferred embodiment of the present invention, and equivalent modifications or variations made by those skilled in the art to the present invention should be included in the following claims.

100‧‧‧Display equipment

10‧‧‧ receiving module

20‧‧‧Detection module

21‧‧‧Sampling unit

23‧‧‧Image Status Setting Unit

25‧‧‧State Detection Unit

27‧‧‧ Feature Detection Unit

30‧‧‧Control Module

31‧‧‧First Control Unit

32‧‧‧Second Control Unit

34‧‧‧ third control unit

36‧‧‧fourth control unit

40‧‧‧Logical computing module

41‧‧‧First arithmetic unit

43‧‧‧Second arithmetic unit

45‧‧‧ third arithmetic unit

47‧‧‧ fourth arithmetic unit

50‧‧‧Image Processing Module

51‧‧‧First adjustment unit

52‧‧‧Second adjustment unit

54‧‧‧ Third adjustment unit

56‧‧‧Fourth adjustment unit

60‧‧‧ display module

S31~S37‧‧‧Image data adjustment method

no

100‧‧‧Display equipment

10‧‧‧ receiving module

20‧‧‧Detection module

21‧‧‧Sampling unit

23‧‧‧Image Status Setting Unit

25‧‧‧State Detection Unit

27‧‧‧ Feature Detection Unit

30‧‧‧Control Module

40‧‧‧Logical computing module

50‧‧‧Image Processing Module

60‧‧‧ display module

Claims (20)

A display device for displaying image data composed of a plurality of consecutive images, the display device comprising a receiving module, a detecting module, a control module, a logic computing module and an image processing module; The group is configured to detect whether the image data is dynamic to output a status signal, and simultaneously accumulate and detect the total number of pixels corresponding to each feature category to output a characteristic signal; the control module is configured to output a control signal to the logic operation module; the logic operation The module is configured to logically calculate the received status signal, the characteristic signal and the control signal, and output the adjustment signal; the image processing module processes the image data according to the adjustment signal. The display device of claim 1, wherein the detection module comprises a sampling unit, an image state setting unit, and a state detecting unit; the sampling unit downsamples the current image to form a sample image. The image state setting unit performs format conversion on the sampled image to obtain the feature value of the converted current image, and sets the state of the current image according to the acquired feature value; the state detection unit accumulates the number of images And when the number of images reaches a predetermined value, the state of the image data is detected and the status signal is output. The display device of claim 2, wherein the image state setting unit calculates a difference between a feature value of the previous image and the current image, and compares the difference between the difference value and the limit value; If the difference is less than the limit value and the state of the previous image is static, the image state setting unit sets the current image state to be dynamic; if the difference is greater than or equal to the limit value and the state of the previous image is static The image state setting unit sets the current image state to be static. The display device of claim 2, wherein the state detecting unit detects a current image state when the accumulated image number is equal to a predetermined value; the current image state is dynamic, and the state detecting unit calculates The value is added to the first threshold, and the calculated count value and the upper limit value and the previous image state are detected; if the calculated count value is greater than the upper limit value and the previous image state is dynamic, the state detect The measuring unit resets the accumulated image number and outputs a first status signal. The display device of claim 4, wherein if the current image state is static, the state detecting unit subtracts the count value from the second threshold, and detects whether the calculated count value is less than or equal to Whether the lower limit value and the previous image state are static; if the calculated count value is less than or equal to the lower limit value and the previous image state is static, the state detecting unit resets the cumulative image number and outputs the second The status signal; if the calculated count value is greater than the lower limit value or the previous image state is dynamic, the state detecting unit resets the accumulated image number and outputs a status signal corresponding to the previous image data. The display device of claim 2, wherein the detection module further comprises a feature detecting unit; the feature detecting unit has a plurality of reference values and respectively corresponds to the feature category; the feature detecting unit will obtain The obtained image is sampled down, the total number of pixels corresponding to various feature categories in the image data is detected and accumulated, and the total number of pixels of each feature is compared with the corresponding reference value, and the feature signal is output according to the comparison result; the arbitrary image is There may be a first feature category, a second feature category, a third feature category, and/or a fourth feature category, or any combination of the above. The display device of claim 6, wherein the image comprises a first parameter, a second parameter, and a third parameter; the feature detecting unit respectively arbitrarily any of the first parameter, the second parameter, and the third parameter The two perform a difference calculation, and compare the difference between the difference and the first reference value; if any difference is smaller than the first reference value, the number of pixels having the first feature category is accumulated. The display device of claim 6, wherein the image comprises a first parameter, a second parameter, and a third parameter; the feature detecting unit is the largest of the first parameter, the second parameter, and the third parameter The value is compared to a second reference value; if the maximum value is greater than the second reference value, the number of pixels having the second feature category is accumulated. The display device of claim 6, wherein the image comprises a first parameter, a second parameter, and a third parameter; the feature detecting unit minimizes the first parameter, the second parameter, and the third parameter The value is compared with a third reference value; if the minimum value is less than or equal to the third reference value, the number of pixels having the third feature category is accumulated. The display device of claim 6, wherein the feature detecting unit subtracts the maximum value and the minimum value of the first parameter, the second parameter, and the third parameter, and the difference value and the fourth reference value The comparison is performed; if the difference is less than or equal to the fourth reference value, the number of pixels having the fourth feature category is accumulated. The display device of claim 1, wherein the feature signal comprises a plurality of feature sub-signals, and respectively corresponding to the feature categories; the control unit is used for a specific reference feature signal; the operation unit will refer to the feature The signal and the feature signal are ANDed to extract the corresponding feature sub-signal, and the extracted feature sub-signal is ORed to obtain a control signal, and the control signal and the status signal are output as the adjustment signal. The display device of claim 1, wherein the control module comprises a plurality of control units; the image processing module comprises a plurality of adjustment units and corresponds to the control unit; the adjustment signal comprises a plurality of adjustment signals And corresponding to the control unit; the control unit is configured to output a corresponding adjustment signal to control the corresponding adjustment unit to be turned on. The display device of claim 12, wherein the adjustment signal comprises a first adjustment signal, a second adjustment signal, a third adjustment signal, and a fourth adjustment signal; the image processing module is configured according to the first adjustment signal Performing edge adjustment on the image data; the image processing module performs color adjustment on the image data according to the second adjustment signal; the image processing module performs backlight adjustment on the image data according to the third adjustment signal; the image processing The module adjusts the contrast of the image data according to the fourth adjustment signal. An image data adjustment method is used for detecting image data and adjusting image data; the dynamic image data adjustment method comprises the following steps:
Downsampling the current image and receiving a control signal;
Detecting and accumulating the total number of pixels corresponding to various feature categories;
Detecting whether the image data is dynamic image data;
If the image data is dynamic image data, the corresponding state signal is output according to the current image state;
Outputting the feature signal according to the comparison result of the total number of pixels of the various feature categories and the corresponding reference value;
The state signal, the characteristic signal, and the control signal are logically operated, and the adjustment signal is output;
Adjust the image data in a corresponding way according to the adjustment signal. The method for adjusting image data according to claim 14, wherein the detecting whether the image data is dynamic image data further comprises:
Set the current image status;
The cumulative number of images;
It is detected whether the accumulated image number is greater than a predetermined value; when the accumulated image number is greater than a predetermined value, the corresponding status signal is output according to the current image state. The image data adjusting method of claim 15, wherein the setting the current image state further comprises:
Convert the sampled image;
Calculating the feature value of the sampled image;
Detecting whether an absolute value of a difference between a current image and a previous image feature value is less than a limit value and whether the previous image is a static image;
If the difference is less than the limit value and the state of the previous image is static; setting the current image state to be static;
If the difference is greater than or equal to the limit value or the state of the previous image is dynamic, the current image state is set to be dynamic. The image data adjusting method of claim 15, wherein the outputting the corresponding status signal according to the current image state further comprises:
Detect whether the current image status is dynamic;
If the current image state is dynamic, the count value is added to the first threshold;
If the current image state is static, the count value is subtracted from the second threshold; wherein the first threshold is less than the second threshold;
Whether the detected count value is greater than the upper limit value and whether the previous image state is dynamic;
If the count value is greater than the upper limit value and the previous image state is dynamic, resetting the cumulative image number and outputting the first state signal;
If the count value is less than or equal to the upper limit value or the previous image state is static, whether the detected count value is less than or equal to the lower limit value and whether the previous image state is static;
If the count value is less than or equal to the lower limit value and the previous image state is static, resetting the cumulative image number and outputting the second state signal;
If the count value is greater than the lower limit value or the previous image state is dynamic, then the moving image data is
Reset the accumulated image number and output the status signal corresponding to the previous image data. The method for adjusting image data according to claim 14, wherein the step of outputting the adjustment signal after the logic signal of the state signal, the characteristic signal and the control signal further comprises: performing AND operation on the reference feature signal and the feature signal to extract Corresponding to the feature sub-signal, the extracted feature signal is ORed to obtain the control signal, and the control signal and the status signal are output as the adjustment signal. The image data adjusting method according to claim 14, wherein the sampled image includes a first parameter, a second parameter, and a third parameter, and has a first feature category, a second feature category, and a first feature category. The third feature category and/or the fourth feature category, or any combination of the foregoing features; the step of detecting and accumulating all images in the image data having a feature category further includes the following steps:
Extracting an absolute value of the difference between the first parameter, the second parameter, and the third parameter of the image;
Detecting whether the absolute value of the difference is smaller than the first reference value;
If the absolute value of the difference is less than the first reference value, accumulating the number of pixels having the first feature category;
If the absolute value of the difference is greater than or equal to the first reference value, extracting a current image to extract a maximum value of the first parameter, the second parameter, and the third parameter of the current image;
Detecting whether the absolute value of the maximum value is greater than the first reference value;
If the absolute value of the maximum value is greater than the second reference value, accumulating the number of pixels having the second feature category;
If the absolute value of the maximum value is less than or equal to the second reference value, extracting a minimum value of the first parameter, the second parameter, and the third parameter of the current image extraction current image;
Detecting whether the absolute value of the difference is less than a third reference value;
If the absolute value of the difference is less than the third reference value, accumulating the number of pixels having the third feature category;
If the absolute value of the difference is greater than or equal to the third reference value, obtain an absolute value of the difference between the maximum value and the minimum value;
Detecting whether the absolute value of the difference is less than or equal to the first reference value;
If the absolute value of the difference is less than or equal to the fourth reference value, accumulating the number of pixels having the fourth feature category;
If the absolute value of the difference is greater than the fourth reference value, it is detected whether all image feature category detection is completed. The image data adjustment method of claim 14, wherein the adjustment signal comprises a first adjustment signal, a second adjustment signal, a third adjustment signal, and a fourth adjustment signal; the adjustment signal is adjusted according to the corresponding manner The image data further includes:
Performing edge adjustment on the image data according to the first adjustment signal;
Performing color adjustment on the image data according to the second adjustment signal;
Performing backlight adjustment on the image data according to the third adjustment signal;
Contrast adjustment of the image data according to the fourth adjustment signal.