An EL display apparatus is provided. A display screen includes pixels arranged in a matrix, with each pixel including an EL device and a pixel circuit. A source driver circuit is configured to output an analog video signal to each pixel. A gate driver circuit is on at least one side of the display screen, with the gate driver circuit including first and second gate driver circuits. Each pixel includes a driving transistor, a first switch transistor, and a second switch transistor. A gate terminal of the first switch transistor is connected to a first gate signal line of the first gate driver circuit, and a gate terminal of the second switch transistor is connected to a second gate signal line of the second gate driver circuit. The first and second switch transistors are on/off controlled, independently, by the first and second gate driver circuits.

A display device and a control method therefor are provided. The display device includes: a display panel including a plurality of pixels consisting of a plurality of light emitting devices of different colors; a sensor for sensing a temperature of the display panel; a driver IC for driving the plurality of pixels; a memory storing a plurality of pieces of correction data; and a processor configured to execute the at least one instruction to identify, on the basis of the temperature sensed by the sensor, correction data corresponding to the sensed temperature from among the plurality of pieces of stored correction data, correct image data on the basis of the correction data, and control the driver IC on the basis of the corrected image data.

Disclosed is a display apparatus. The display apparatus obtains first characteristic information, which is provided according to a plurality of sections of content and corresponds to an image characteristic of a section to be displayed among the plurality of seconds, from a signal received in the signal receiver, obtains first image-quality setting information for setting image quality of the section based on the obtained first characteristic information, obtains second characteristic information corresponding to an image characteristic of a frame included in the section from the frame, obtains second image-quality setting information for setting image quality of the frame based on the obtained first image-quality setting information and the obtained second characteristic information, and controls the display to display an image of the frame, the image quality of the frame being set based on the obtained second image-quality setting information.

A method and a device for video enhancement, and an electronic device are provided, in accordance with embodiments of the present disclosure. In the method, a current brightness of a display panel of the electronic device is obtained when a video is playing in the display panel. The current brightness may be compared with a target brightness, and a comparing result is obtained. An effect of video enhancement, which configured to be applied to the video, is determined according to the comparing result. The video is processed according to a video enhancement corresponding to the effect of video enhancement. Therefore, in the process of the video enhancement for the electronic device while playing video, the video may be displayed with extremely clear images and may have an extremely clear visual effect.

In a method to improve backwards compatibility when decoding high-dynamic range images coded in a wide color gamut (WCG) space which may not be compatible with legacy color spaces, hue and/or saturation values of images in an image database are computed for both a legacy color space (say, YCbCr-gamma) and a preferred WCG color space (say, IPT-PQ). Based on a cost function, a reshaped color space is computed so that the distance between the hue values in the legacy color space and rotated hue values in the preferred color space is minimized HDR images are coded in the reshaped color space. Legacy devices can still decode standard dynamic range images assuming they are coded in the legacy color space, while updated devices can use color reshaping information to decode HDR images in the preferred color space at full dynamic range.

In a method to improve backwards compatibility when decoding high-dynamic range images coded in a wide color gamut (WCG) space which may not be compatible with legacy color spaces, hue and/or saturation values of images in an image database are computed for both a legacy color space (say, YCbCr-gamma) and a preferred WCG color space (say, IPT-PQ). Based on a cost function, a reshaped color space is computed so that the distance between the hue values in the legacy color space and rotated hue values in the preferred color space is minimized. HDR images are coded in the reshaped color space. Legacy devices can still decode standard dynamic range images assuming they are coded in the legacy color space, while updated devices can use color reshaping information to decode HDR images in the preferred color space at full dynamic range.

Method and apparatus for mode switching are provided in the disclosure. Aspects of the disclosure provide a method for switching a display mode of a device. The method includes receiving an intensity value of ambient light when the device is in a first control mode in which backlights of a liquid crystal display screen are controlled in order to control a display brightness of the liquid crystal display screen, determining whether the intensity value is less than a predetermined threshold, and when the intensity value is less than the predetermined threshold, controlling the device to enter a second control mode in which voltages provided to data lines of the liquid crystal display screen are scaled according to a ratio in order to control the display brightness of the liquid crystal display screen.

To improve the display quality of a display device. To provide a method of correcting image data input to the display device. To provide a novel image correction method or an image correction system. Machine learning for a neural network correcting image data input to the display device is performed by the following method: second image data based on an image that is displayed on the display device by input of first image data to the display device is obtained; third image data is generated by obtaining a difference between the first image data and the second image data; fourth image data is generated by adding the first image data and the third image data; and a weight coefficient is updated so that output data obtained by input of the first image data to the neural network is close to the fourth image data.

The present disclosure relates to a brightness adjustment method and device, and a storage medium. The method can include detecting a brightness of an environment where a mobile terminal is located to acquire a brightness value. When a decrease of the brightness value acquired at a present moment relative to the brightness value acquired at a previous moment reaches a first preset value, a radar wave is transmitted, and an echo of the radar wave is detected. The method determines whether there is an occlusion causing the decrease of the acquired brightness value according to a transmitting parameter of the radar wave and an echo parameter of the echo. When there is no occlusion, display brightness of the mobile terminal is adjusted according to the brightness value acquired at the present moment. When the occlusion is present, the display brightness of the mobile terminal at the present moment is maintained.

A system for image enhancement on digital display device is disclosed. The system includes an image processing subsystem including a digital art metadata collection module to measure the ambient condition on a digital art piece using sensors. The digital art metadata collection module collects a set of metadata corresponding to the digital art piece by analysing the ambient condition. The image processing subsystem includes an image adjustment module to modify parameters on digital display device based on the set of metadata using one or more image processing techniques. The image adjustment module generates a target digital image representative of a printed image quality based on the modified parameters.