Abstract: An eye-protection method, paper-like display method, device, and computer readable storage medium. The eye-protection method includes: acquiring and normalizing composite sensing data in an environment and image data in a multimedia content; and performing a fusion calculation on normalized image data in the multimedia content by normalized composite sensing data in the environment to obtain an image eye-protection guiding parameter, wherein the image eye-protection guiding parameter has a mapping relationship with the normalized composite sensing data in the environment and the normalized image data in the multimedia content; and adjusting the image data in the multimedia content based on the image eye-protection guiding parameter to allow the multimedia content to form a multimedia image having an eye-protection effect. This invention leverages the power of fusion computing and deep learning to develop an algorithm that enhances the eye-protection features of electronic devices.

Abstract: A structured-light projector, a camera assembly, and an electronic device are provided. The structured-light projector includes: a first light source, configured to emit a first light beam; a diffractive optical element, provided on a light-emitting side of the first light source and configured to generate structured light based on the first light beam incident on the diffractive optical element; an optical steering element, provided between the first light source and the diffractive optical element; and a second light source, wherein the second light source includes a light emitter, configured to emit a second light beam, the second light beam comprising infrared light. Via the structured-light projector, a scattered image and an infrared image of the target object can be acquired simutaneously.

Abstract: An image processing method, an image processing device, and an electronic device are provided. The image processing method includes: acquiring images to be processed based on captured images; correcting the images to be processed in a horizontal direction to obtain first corrected images; rotating the first corrected images by 90 degrees along a first direction to obtain second corrected images; and correcting the second corrected images in the horizontal direction to obtain third corrected images. In the present technical solution, the software algorithm is optimized for binocular image stitching while fully utilizing hardware resources, thereby effectively reducing hardware performance requirements.

Abstract: A panoramic stitching method, a panoramic stitching apparatus, an electronic device, and a storage medium are provided. The panoramic stitching method comprises acquiring captured images from cameras in a same scene; obtaining a remapping lookup table and a fusion lookup table generated based on a stitching model; and mapping and fusing the captured images based on the remapping lookup table and the fusion lookup table to obtain a panoramic stitched output image. The stitching model comprises a hemisphere and a cylinder, and an origin of a virtual camera coordinate system associated with the cameras is located at a center of a bottom surface of the hemisphere. The bottom surface is where the hemisphere is in contact with the cylinder. This method effectively reduces camera parallax and alignment errors, significantly enhancing the quality of panoramic stitching, which is particularly well-suited for open horizontal scenes, delivering exceptional visual stitching results.

Abstract: An intelligent encoding method, an intelligent encoding system, and an electronic device are provided. The intelligent encoding method comprises obtaining intelligent encoding information, wherein the intelligent encoding information comprises a maximum target bit rate, a minimum target bit rate, a motion complexity, a texture complexity, and a region of interest; and encoding an input source of an encoder based on the intelligent encoding information. The above intelligent encoding method has strong flexibility.

Abstract: A method and apparatus for generating a high-dynamic-range image, storage medium, and electronic device are provided.

Abstract: An apparatus and a method for outputting image data, and an electronic device are provided. The apparatus includes a first parameter setter, an image signal processor, and an encoder, wherein the first parameter setter sets a first configuration parameter for the image signal processor based on a complexity associated with an input image frame, wherein the image signal processor performs an image signal processing on at least one image frame to generate processed image data based on the first configuration parameter, wherein the encoder performs encoding processing on the processed image data to generate encoded image data. The apparatus and the method for outputting image data, and the electronic device of the present disclosure adjust parameters of the image signal processor and the encoder according to the complexity associated with an input image frame, thereby effectively improving the overall performance of image processing, encoding and compression.

Abstract: A corner marking method, a parameter calibration method, and an electronic device are provided. The corner marking method includes: acquiring a target image, the target image including at least a portion of a target chessboard; detecting corners in the target image; performing a chessboard reconstruction based on detected corners to acquire a reconstructed chessboard; if the reconstructed chessboard contains one or more of tagging squares, acquiring one of the tagging squares of the reconstructed chessboard as a reference square; acquiring an identification and orientation of the reference square based on a tag of the reference square; marking corners in the reconstructed chessboard based on the identification and orientation of the reference square. Even if the target image does not contain a complete target chessboard, the corner marking method described in the present disclosure is still capable of marking corners in the target image.

Abstract: An image processing method, and electronic device are provided. The image processing method includes: obtaining a raw RGBW image by an RGBW sensor; processing the raw RGBW image by a pre-processor to obtain a raw RGB image; processing the raw RGB image by an image signal processor to obtain a target image. By adopting the image processing method of the present disclosure, conventional image processing modules are compatible with RGBW sensors without modification, and thus do not need to be replaced in practical applications, which saves hardware costs and facilitates product upgrades.

Abstract: An image processing method, an image processing device, and an electronic device are provided. The image processing method includes: acquiring images to be processed based on captured images; correcting the images to be processed in a horizontal direction to obtain first corrected images; rotating the first corrected images by 90 degrees along a first direction to obtain second corrected images; and correcting the second corrected images in the horizontal direction to obtain third corrected images. In the present technical solution, the software algorithm is optimized for binocular image stitching while fully utilizing hardware resources, thereby effectively reducing hardware performance requirements.

Abstract: A data processing device, a data processing method, and a chip are provided. The data processing device includes a multiplying accumulator. The multiplying accumulator is configured to obtain an input tensor and a sparse weight tensor. The sparse weight tensor is obtained by performing a sparse processing on at least one of a first dimension and a second dimension of an original weight tensor. The multiplying accumulator is further configured to perform a multiply-accumulate (MAC) operation on the sparse weight tensor and the input tensor. The present disclosure enhances the computational power of the data processing device without increasing the number of multiplying accumulators.

Abstract: An intelligent encoding method, an intelligent encoding system, and an electronic device are provided. The intelligent encoding method comprises obtaining intelligent encoding information, wherein the intelligent encoding information comprises a maximum target bit rate, a minimum target bit rate, a motion complexity, a texture complexity, and a region of interest; and encoding an input source of an encoder based on the intelligent encoding information. The above intelligent encoding method has strong flexibility.

Abstract: The present disclosure provides an image sensor, which may include a driving layer, a negative electrode layer formed in the driving layer, a N-region layer formed above the negative electrode layer. The N-region layer includes multiple cylindrical structures formed of semiconductor materials. The image sensor may also include a light absorption layer formed above the N-region layer. The light absorption layer is composed of a multi-layer structure including a P-region layer formed using quantum dot semiconductor materials. The image sensor may further include a positive electrode layer formed above the light absorption layer and configured to receive incoming light signals.

Abstract: A method and apparatus for generating a high-dynamic-range image, storage medium, and electronic device are provided.

Abstract: An apparatus and a method for outputting image data, and an electronic device are provided. The apparatus includes a first parameter setter, an image signal processor, and an encoder, wherein the first parameter setter sets a first configuration parameter for the image signal processor based on a complexity associated with an input image frame, wherein the image signal processor performs an image signal processing on at least one image frame to generate processed image data based on the first configuration parameter, wherein the encoder performs encoding processing on the processed image data to generate encoded image data. The apparatus and the method for outputting image data, and the electronic device of the present disclosure adjust parameters of the image signal processor and the encoder according to the complexity associated with an input image frame, thereby effectively improving the overall performance of image processing, encoding and compression.

Abstract: An H.265 encoding device is described. The encoding device may include a preprocessing module; a coarse selection module; and a precise comparison module. The preprocessing module is configured to divide a current frame from an original video into multiple CTU blocks. The coarse selection module is configured to divide a CTU block based on multiple partition modes, and perform inter-prediction and intra-prediction and generate a prediction information corresponding to the partition modes. The precise comparison module is configured to perform cost comparison, select a partition mode with the lowest cost, generate entropy coding information and reconstruction information based on the selected partition mode and its corresponding encoding information.

Abstract: An eye-protection method, paper-like display method, device, and computer readable storage medium are provided. The eye-protection method includes: acquiring and normalizing composite sensing data in an environment and image data in a multimedia content; and performing a fusion calculation on normalized image data in the multimedia content by normalized composite sensing data in the environment to obtain an image eye-protection guiding parameter, wherein the image eye-protection guiding parameter has a mapping relationship with the normalized composite sensing data in the environment and the normalized image data in the multimedia content; and adjusting the image data in the multimedia content based on the image eye-protection guiding parameter to allow the multimedia content to form a multimedia image having an eye-protection effect. This invention leverages the power of fusion computing and deep learning to develop an algorithm that enhances the eye-protection features of electronic devices.

Abstract: The present disclosure provides an adaptive adjustment circuit in a computer chip having a voltage-controlled oscillator (VCO) and a processor. The adaptive adjustment circuit comprises a frequency difference acquisition module to generate a frequency difference signal based on a first difference between an oscillation frequency of the VCO and a target frequency. The adaptive adjustment circuit also includes a power module to supply a working voltage to the VCO and the processor, adjust the working voltage based on the frequency difference signal, and supply the adjusted working voltage to the VCO and the processor.

Abstract: A structured-light projector, a camera assembly, and an electronic device are provided. The structured-light projector includes: a first light source, configured to emit a first light beam; a diffractive optical element, provided on a light-emitting side of the first light source and configured to generate structured light based on the first light beam incident on the diffractive optical element; an optical steering element, provided between the first light source and the diffractive optical element; and a second light source, wherein the second light source includes a light emitter, configured to emit a second light beam, the second light beam comprising infrared light. Via the structured-light projector, a scattered image and an infrared image of the target object can be acquired simutaneously.

Abstract: The present disclosure provides an adaptive adjustment circuit in a computer chip having a voltage-controlled oscillator (VCO) and a processor. The adaptive adjustment circuit comprises a frequency difference acquisition module to generate a frequency difference signal based on a first difference between an oscillation frequency of the VCO and a target frequency. The adaptive adjustment circuit also includes a power module to supply a working voltage to the VCO and the processor, adjust the working voltage based on the frequency difference signal, and supply the adjusted working voltage to the VCO and the processor.