Boe Technology Group Co., Ltd.

Beijing Boe Vision-electronic Technology Co., Ltd.

Boe Technology Groupco., Ltd.

Jianmin He

Lijie Zhang

Pablo Navarrete Michelini

Zhenglong Li

Xiao Lin Zhang

Lihua Geng

Xingxing Zhao

Changlin Leng

Xiaoyu Li

Qin Chen

Enmin Niu

The present disclosure discloses a method and device for image encoding and a method and device for image decoding. The encoding method comprises steps of: downscaling an input high resolution HR image into a low resolution LR image by a downscaler; compressing the LR image using a first compression method; extracting an index value from at least one of the HR image and the LR image; determining a parameter from a parameter database using the index value; compressing the parameter using a second compression method different from the first compression method; and obtaining a data stream by merging the compressed parameter and the compressed LR image.

Method and device for image encoding and image decoding

A super-resolution method, a super-resolution system, a user equipment and a server. The super-resolution method includes: training an image sample at a server; obtaining a server-side image database; updating a local image database in a user device by using the server-side image database; and displaying an input low-resolution image as a high-resolution image.

Super-resolution method and system, server, user device and method therefor

According to embodiments of the present disclosure, a method for processing an adaptive media service at an encoder includes a first acquisition step of acquiring a first data stream including first image encoding data obtained by encoding a first image sequence, a second acquisition step of acquiring at least one second data stream, each second data steam including second image encoding data obtained by encoding a second image sequence and a target optimization parameter corresponding to the second image encoding data, a first selection step of selecting one data stream from a first data stream set in accordance with a condition of the receiver, the first data stream set at least including the first data stream and the at least one second data stream, and a first transmission step of transmitting the selected data stream to the receiver.

Method and device for processing adaptive media service, encoder and decoder

A video player is provided, comprising: a video playing unit, configured to convert an image inputted to the video playing unit into a driving signal for driving a display panel; and an image preprocessing unit, configured to receive the inputted image from a display source, to preprocess the inputted image into n preprocessed images, and to output the n preprocessed images to the video playing unit, wherein the video playing unit is further configured to convert the n preprocessed images into n sets of first driving signals, and to output the n sets of first driving signals via the n output terminals of the video playing unit for displaying, wherein the n preprocessed images correspond to the n output terminals of the video playing unit with each other in a preset manner. Furthermore, a display apparatus and a video playing system and a video playing method are also provided. The video player can display high resolution images at a low cost.

Video player, a display apparatus, a video playing system and a video playing method

Adjustable display stand

An image upsampling system, a training method thereof and an image upsampling method are provided, the feature images of an image are obtained by using the convolutional network, upsampling processing is performed on the images with the muxer layer to synthesize every n&#xd7;n feature images in the input signal into a feature image with the resolution amplified by n&#xd7;n times, in the upsampling procedure with the muxer layer, information of respective feature images in the input signal is recorded in the generated feature image(s) without loss; and thus, every time when the image passes through a muxer layer with an upsampling multiple of n, the image resolution can be increased by n&#xd7;n times.

Image upsampling system, training method thereof and image upsampling method

The disclosure relates to an image compression system, an image decompression system, a training method and device, as well as a display device. In the image compression system, convolutional neural network modules are used to complete the update and prediction processes. As such, the weight of each filtering unit in the convolutional neural network module can be trained in order to provide the corresponding image compression system with a better compression rate, thereby reducing the difficulty in setting the filtering parameters of the image compression unit and the image decompression unit.

Image compression system, decompression system, training method and device, and display device

A display device includes a display screen and a frame disposed around the display device, an infrared receiver and a light guide member, wherein the light guide member has a securing surface through which the light guide member is secured to the frame, the light guide member further including a receiving end and a light exiting surface, the receiving end formed at a display side of the display device, a width of the receiving end in a direction perpendicular to the frame to which the light guide member is secured is narrower than a width of the light exiting surface in the direction. Only a narrower portion of the light guide member can be seen when a human being looks at the display device, thus improving display effect of the narrow frame of the display device.

Display device

The present disclosure provides a direct-type backlight module and a display apparatus. The direct-type backlight module may comprise: a backplane; a plurality of LED lamps distributed in an array which are positioned on the backplane; a diffusion plate above the plurality of LED lamps; and multiple optical fibers connecting two adjacent LED lamps of the plurality of LED lamps, each optical fiber being provided with a plurality of light transmission openings distributed at intervals towards the diffusion plate along its extension direction. Wherein part of light emitted from each LED lamp can be propagated along the optical fiber and transmitted to the diffusion plate via the light transmission openings. The direct-type backlight module directs part of the light emitted from the LED lamps through the plurality of light transmission openings to the diffusion plate using the optical fibers, which changes the LED lamps in the form of point light sources into area light sources. Therefore, the direct-type backlight modules provided in the present disclosure can obtain uniform illumination at the same time of reducing the number of LED lamps, without increasing the light mixing distance of the backlight modules, thereby improving light availability.

Growing community of inventors

Beijing, China

Jianmin He