Adaptive LCD TV display quality adjusting apparatus and method

Abstract

The invention relates to an adaptive adjuster of LCD TV display quality and relative method, wherein said adjuster comprises LCD display module, one signal collector for collecting the brightness parameter of image, an image strengthen processing module, one CPU for analyzing the brightness information; the image strengthen processing module is connected to the CPU; the signal collector is connected to CPU; CPU controls the backlight source brightness adjusting port connected to the LCD display module. The invention checks the brightness area ratio of image to automatically decide to reduce the backlight brightness or not; the image strengthen processing module corrects the brightness and extends the black potential of dark area, to limit over brightness, etc. The invention can improve quality and save energy.

Description

technical field

[0001] The invention relates to the technical field of television display, and more particularly to the adjustment technology of LCD television display quality. Background technique

[0002] Now LCD TVs are being favored by consumers and are widely entering the homes of ordinary consumers. However, since the LCD is a passive display device, the liquid crystal is used as a controllable light valve to display images. At the same time, due to the limitation of the characteristics of the liquid crystal, the light valve cannot reach the ideal closed state, that is, to give a completely black signal, the LCD screen will also There is a faint bright light, and the phenomenon of poor black level performance is particularly obvious when the ambient brightness is low. For certain LCD display modules, black level performance can only be improved by reducing the backlight brightness. Therefore, the current LCD TV has the following shortcomings: 1. In the normal home us...

Examples

Embodiment 1

[0034] This embodiment includes an LCD display module, an extraction module, an image enhancement module, and a CPU. The extraction module can extract information from the image content feature of the image signal. The extracted information includes the histogram and average value of the image content, and then the relevant parameters are sent to the CPU with the preset analysis and processing program; then, the control amount of the backlight brightness is output according to the optimization algorithm. Different LCD display modules use Different control quantities, which can be voltage or PWM pulses.

[0035] The algorithm is as follows: see the flowchart, Figure 4. First, for each input image, the histogram information, average value, maximum and minimum value, and deviation value of each frame of image are extracted through the image feature extraction module. Estimating the proportion of bright areas in the image Pbr, the acquisition of Pbr refers to the ratio of the to...

Embodiment 2

[0037] Using the method combined with the method of measuring the dark area of ​​the previous invention, firstly detect the proportion of the dark area, see Figure 3, that is, extract the histogram information, average value, maximum and minimum values, and deviation values ​​of each frame of image. Then estimate the dark area ratio Pdk in the current state. Compare Pdk with the preset dark area ratio Cdk. If Pdk is less than Cdk, no backlight adjustment is performed, and normal image quality enhancement processing is performed; if Pdk is greater than Cdk, calculate and set the backlight reduction parameter ΔR, calculate and Set the delay parameter Td, and then perform adaptive backlight adjustment control according to ΔR and Td, and perform brightness compensation and white level extension to compensate for the degradation of image quality caused by the decrease in backlight brightness. Otherwise, the ratio of the bright area is detected, referring to FIG. 4 , if the ratio Pb...

technical field

[0001] The invention relates to the technical field of television display, and more particularly to the adjustment technology of LCD television display quality. Background technique

[0002] Now LCD TVs are being favored by consumers and are widely entering the homes of ordinary consumers. However, since the LCD is a passive display device, the liquid crystal is used as a controllable light valve to display images. At the same time, due to the limitation of the characteristics of the liquid crystal, the light valve cannot reach the ideal closed state, that is, to give a completely black signal, the LCD screen will also There is a faint bright light, and the phenomenon of poor black level performance is particularly obvious when the ambient brightness is low. For certain LCD display modules, black level performance can only be improved by reducing the backlight brightness. Therefore, the current LCD TV has the following shortcomings: 1. In the normal home us...

Examples

Embodiment 1

[0034] This embodiment includes an LCD display module, an extraction module, an image enhancement module, and a CPU. The extraction module can extract information from the image content feature of the image signal. The extracted information includes the histogram and average value of the image content, and then the relevant parameters are sent to the CPU with the preset analysis and processing program; then, the control amount of the backlight brightness is output according to the optimization algorithm. Different LCD display modules use Different control quantities, which can be voltage or PWM pulses.

[0035] The algorithm is as follows: see the flowchart, Figure 4. First, for each input image, the histogram information, average value, maximum and minimum value, and deviation value of each frame of image are extracted through the image feature extraction module. Estimating the proportion of bright areas in the image Pbr, the acquisition of Pbr refers to the ratio of the to...

Embodiment 2

[0037] Using the method combined with the method of measuring the dark area of ​​the previous invention, firstly detect the proportion of the dark area, see Figure 3, that is, extract the histogram information, average value, maximum and minimum values, and deviation values ​​of each frame of image. Then estimate the dark area ratio Pdk in the current state. Compare Pdk with the preset dark area ratio Cdk. If Pdk is less than Cdk, no backlight adjustment is performed, and normal image quality enhancement processing is performed; if Pdk is greater than Cdk, calculate and set the backlight reduction parameter ΔR, calculate and Set the delay parameter Td, and then perform adaptive backlight adjustment control according to ΔR and Td, and perform brightness compensation and white level extension to compensate for the degradation of image quality caused by the decrease in backlight brightness. Otherwise, the ratio of the bright area is detected, referring to FIG. 4 , if the ratio Pb...

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