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JP-2026074634-A - Liquid crystal display device, method for controlling a liquid crystal display device, and program

JP2026074634AJP 2026074634 AJP2026074634 AJP 2026074634AJP-2026074634-A

Abstract

[Problem] To enable the display of images with the desired contrast. [Solution] The liquid crystal display device comprises a liquid crystal panel, an input means for inputting data of a first image, a backlight module capable of changing the luminescence brightness for each of a plurality of divided regions, a generation means for inputting data generated from the first image into a neural network to generate the luminescence intensity of each divided region of the backlight module, an adjustment means for adjusting the generated luminescence intensity, a calculation means for calculating a correction value to correct the first image based on the adjusted luminescence intensity, a correction means for correcting the first image to a second image based on the calculated correction value, a luminescence control means for controlling the luminescence intensity of each divided region of the backlight module based on the adjusted luminescence intensity, and a display control means for controlling the transmittance of the liquid crystal panel based on data of the second image. [Selection Diagram] Figure 1

Inventors

  • 水戸 浩司
  • 岡 梓

Assignees

  • キヤノン株式会社

Dates

Publication Date
20260507
Application Date
20241021

Claims (11)

  1. LCD panel and An input means for inputting data from the first image, A backlight module that illuminates the aforementioned liquid crystal panel with light, and whose luminescence brightness can be changed for each of the multiple divided regions, A generation means that inputs the data generated from the first image into a neural network to generate the light emission intensity of each divided region of the backlight module, An adjustment means for adjusting the luminescence intensity generated by the generation means, A calculation means for calculating a correction value for correcting the first image based on the light emission intensity adjusted by the adjustment means, Correction means for correcting the first image to a second image based on the correction value calculated by the calculation means, A light emission control means that controls the light emission intensity of each divided region of the backlight module based on the light emission intensity adjusted by the adjustment means, A liquid crystal display device comprising a display control means for controlling the transmittance of the liquid crystal panel based on the data of the second image.
  2. The liquid crystal display device according to claim 1, characterized in that the data generated from the first image is a feature of the first image.
  3. The liquid crystal display device according to claim 1, characterized in that the trained model applied to the neural network in the generation means is changeable.
  4. It also includes a setting mechanism that accepts user input, The liquid crystal display device according to claim 1, characterized in that the adjustment means adjusts the trained model applied to the neural network, the target contrast associated with the trained model, and the luminescence intensity generated by the generation means in accordance with the user operation.
  5. The liquid crystal display device according to claim 1, characterized in that the adjustment means adjusts the luminescence intensity generated by the generation means according to the trained model applied to the neural network, the target contrast associated with the trained model, and the first image.
  6. LCD panel and An input means for inputting data from the first image, A backlight module that illuminates the aforementioned liquid crystal panel with light, and whose luminescence brightness can be changed for each of the multiple divided regions, A method for controlling a liquid crystal display device having the following characteristics: A generation step of inputting data generated from the first image into a neural network to generate the light emission intensity of each divided region of the backlight module, An adjustment step to adjust the luminescence intensity generated by the above generation step, A calculation step for calculating a correction value to correct the first image based on the light emission intensity adjusted by the adjustment step, A correction step in which the first image is corrected to a second image based on the correction value calculated in the calculation step, A light emission control step that controls the light emission intensity of each divided region of the backlight module based on the light emission intensity adjusted by the adjustment step, A control method characterized by comprising a display control step of controlling the transmittance of the liquid crystal panel based on the data of the second image.
  7. LCD panel and An input means for inputting data from the first image, A backlight module that illuminates the aforementioned liquid crystal panel with light, and whose luminescence brightness can be changed for each of the multiple divided regions, A computer with a liquid crystal display device having, A generation step of inputting data generated from the first image into a neural network to generate the light emission intensity of each divided region of the backlight module, An adjustment step to adjust the luminescence intensity generated by the above generation step, A calculation step for calculating a correction value to correct the first image based on the light emission intensity adjusted by the adjustment step, A correction step in which the first image is corrected to a second image based on the correction value calculated in the calculation step, A light emission control step that controls the light emission intensity of each divided region of the backlight module based on the light emission intensity adjusted by the adjustment step, A program for executing a control method having a display control step of controlling the transmittance of the liquid crystal panel based on the data of the second image.
  8. The input process involves inputting data from the input image, A first generation step involves inputting data generated from the aforementioned input image into a neural network to generate the luminescence intensity of the backlight module. A second generation step generates LD feature quantities based on the data generated from the input image and the emission intensity generated in the generation step, A third generation step generates target features based on the data generated from the input image and the target contrast, A calculation step of calculating the difference between the LD feature and the target feature, An update step to update the parameters of the neural network based on the aforementioned difference, The output process involves mapping the trained model to the target contrast and outputting the result. A learning method characterized by having the following features.
  9. The learning method according to claim 8, characterized in that, in the second generation step, the LD feature quantity is generated based on the data generated from the input image, the luminescence intensity generated in the generation step, and the contrast of the liquid crystal panel.
  10. The method for manufacturing a trained model according to claim 9, characterized in that the contrast of the liquid crystal panel can be changed in the second generation step.
  11. The learned method according to claim 8, characterized in that the target contrast is changeable in the third generation step.

Description

This invention relates to a liquid crystal display device in which the luminous brightness of the backlight module can be changed. There is a demand for higher contrast in display devices that show images with a relatively wide dynamic range, such as HDR (High Dynamic Range) images. For example, one such display device is a liquid crystal display (LCD) device. To reduce black level issues and improve contrast in LCD displays, a technique called local dimming is generally used. Local dimming reduces black level issues by controlling the luminous intensity of the backlight module for each divided region. LCD displays not only HDR images but also images with a standard dynamic range, such as SDR (Standard Dynamic Range) images. Therefore, it is desirable for LCD displays to be able to adjust the display contrast. One technique for adjusting display contrast in LCD devices is to adjust the brightness of the backlight module in dark areas. Patent Document 1 discloses a technique for changing the brightness of the backlight module according to the size of the dark area. Japanese Patent Publication No. 2015-176137 This is a block diagram showing the functional blocks of a liquid crystal display device according to Example 1.This is a flowchart of the parameter application process according to Example 2.This is an example of the settings screen for the local dimming model according to Example 1.This is an example of the display contrast setting screen according to Example 1.This figure shows an example of a divided region of the backlight according to Example 1.This figure shows an example of a backlight brightness estimation point according to Example 1.This is a block diagram showing the functional blocks of the model learning unit according to Example 1.This is a block diagram showing the functional blocks of the LD feature generation unit according to Example 1.This is an example of a checkerboard pattern image.This is an example of a graph related to local dimming based on specific rules.This is an example of a graph related to local dimming using the machine learning model in Example 1.This is a block diagram showing the functional blocks of the liquid crystal display devices according to Examples 2 and 3.This is an example of a patch image.This is a flowchart of the halo evaluation unit according to Example 2.This is a flowchart of the halo evaluation unit according to Example 3. The embodiments of the present invention will be described below with reference to the drawings. The technical scope of the present invention is defined by the claims and is not limited by the embodiments illustrated below. Furthermore, not all combinations of features described in the embodiments are essential to the present invention. The contents described in this specification and drawings are illustrative and should not be considered limiting to the present invention. Various modifications are possible based on the spirit of the present invention, and these do not exclude them from the scope of the present invention. That is, all configurations combining each embodiment and its modified forms are included in the present invention. [Example 1] The following describes Embodiment 1 of the present invention. Figure 1 is a block diagram showing the functional blocks of the liquid crystal display device 100 according to Embodiment 1. The liquid crystal display device 100 includes an image input/conversion unit 101, a setting input unit 102, a local dimming control unit 103, a liquid crystal panel control unit 104, a liquid crystal panel 105, a backlight control unit 106, and a backlight module 107. The image input/conversion unit 101 acquires image data (image data) from an external source. Specifically, the image input/conversion unit 101 has an input interface such as SDI (Serial Digital Interface), and inputs image data into the liquid crystal display device 100 via this interface. The image input/conversion unit 101 then performs conversion processing, such as grayscale conversion and signal format conversion, on the acquired (input) image data, and outputs the converted image data as the input image. The grayscale conversion is, for example, a grayscale conversion using a one-dimensional lookup table (1D-LUT), and is a grayscale conversion corresponding to the gamma value (panel gamma) of the liquid crystal panel 105. Here, we consider the case where the gamma characteristics (correspondence between grayscale value and brightness; grayscale characteristics) of the externally acquired image data are linear, where brightness increases linearly with increasing grayscale value, and the panel gamma is 2.0. In this case, grayscale conversion is performed using the inverse gamma of the panel gamma (i.e., 1/2.0). This converts the acquired image data (image data with linear characteristics) into image data with a gamma specification where brightness is proportional to the 1/2.0 power of the grayscale value. Note that the conversion proc