23results about How to "Guaranteed visual quality" patented technology

The invention discloses a multi-task image processing method, system and device, and relates to the technical field of image processing, and the method comprises the following steps: constructing a multi-task network model; inputting the image data set into a multi-task network model to respectively obtain an infrared enhanced image, an infrared super-resolution image, an infrared and visible light image fusion image and an infrared image colorization image; and calculating a loss function between different images output by the multi-task network model and the infrared image and the visible light image in the input image data set, and carrying out loop training on the multi-task network model. According to the technical scheme, through unified training of the multi-task model, local details are effectively extracted, global consistency is kept, the processing efficiency and the image quality are greatly improved, redundant steps in the processing process are reduced, and the robustness and adaptability of the system are improved.

The invention discloses a lightweight processing method and system for PDMS three-dimensional design data, and relates to the related field of data processing, and the method comprises the steps: receiving PDMS three-dimensional design data to be processed, and carrying out the preprocessing of attribute data; extracting a three-dimensional geometric model, performing geometric fidelity weight analysis, and establishing geometric fidelity weight distribution; determining a lightweight display scene; carrying out degradation processing through a polygon degradation module, and loading a visual distortion analyzer to carry out global visual distortion constraint; after the attribute information is rendered, target lightweight PDMS three-dimensional design data is generated; and transmitting the data to a three-dimensional display terminal for calling and displaying after hierarchical storage. The technical problem that it is difficult to guarantee the model precision, details and visual quality while improving the storage and transmission efficiency in existing lightweight processing is solved, and the technical effect of effectively guaranteeing the model precision, details and visual quality while improving the storage and transmission efficiency is achieved.

The invention relates to the technical field of underwater image enhancement processing, in particular to a pyramid network-based underwater image dynamic enhancement method and application, and the method comprises the steps: decomposing an input underwater image into layered image groups; using a deterministic color mapping network to convert the low-frequency layer input image into a low-frequency layer output image; using a double convolution attention module to obtain enhanced input features; using a packet expansion feedforward network to obtain a pixel-by-pixel mask; performing operation on the enhanced input features and step-by-step pixel masks to obtain high-frequency components; and reconstructing the low-frequency layer output image and the high-frequency component by using a Laplacian pyramid network to obtain an enhanced output underwater image. In conclusion, the underwater image can be dynamically enhanced, the adaptability is high, the method is suitable for various water bodies, color distortion can be effectively corrected, noise introduction is restrained, more image details can be reserved, and the underwater image has better visibility and higher recognition degree.

The invention provides a large-scale scene organization and dynamic scheduling method based on two-dimensional Gaussian sputtering, and relates to the technical field of scene rendering, and the method comprises the steps: carrying out the blocking of a large-scale scene, obtaining a plurality of block scenes, and enabling the two adjacent block scenes to have an overlapping region; recursively creating a bounding box by adopting a median partitioning algorithm, and performing space partitioning on the partitioned scene to generate a BVH tree; nodes in the LOD tree are dynamically selected to generate an LOD structure according to the granularity of the nodes corresponding to the camera distance, and the scene performance of close-shot or medium-shot is achieved; based on the LOD tree, adopting a breadth traversal binary tree mode, and using leaf nodes of a preset proportion of the LOD tree to generate a hierarchical level of detail (HLOD) to realize long-range scene performance; combining the plurality of block scenes; the rendering efficiency can be improved while the visual quality is maintained.

The embodiment of the invention provides a video coding parameter processing method and device, a storage medium and electronic equipment, and the method comprises the steps: inputting a to-be-coded target video frame into a trained just noticeable distortion (JND) prediction model, and obtaining a predicted JND level of each video block in the target video frame; the target video frame is input into a visual attention model, the visual importance level of each video block is obtained, and the visual importance level of each video block is used for representing the visual importance degree of each video block in the target video frame; according to the predicted JND level of each video block and the visual importance level of each video block, adjusting a parameter value of a quantization parameter of each video block to obtain a target parameter value corresponding to each video block; the problem that the visual redundancy estimation accuracy is low in the prior art is solved. The visual redundancy estimation accuracy is improved, and meanwhile, the visual redundancy which is difficult to perceive is eliminated to the maximum extent.

The invention discloses an AI-based intelligent local image super-resolution processing method and system, and the method comprises the steps: loading a to-be-processed original image, and determining a target region of the to-be-processed original image; cutting the target area, and outputting an image protruding part; inputting the highlighted part of the image into a pre-trained super-resolution model to obtain a high-resolution local image; and splicing the processed local image and the unprocessed original image, and displaying the spliced image on a preview interface. The technical scheme of the invention aims to improve the efficiency and quality of image processing and output.

This invention provides an image privacy protection method based on DCT compression and nonlinear dynamics. The method includes converting an RGB plaintext image to the YCbCr color space and sampling it; then performing Discrete Cosine Transform (DCT) and quantization; meticulously compressing and encoding the quantized DCT coefficients; and finally encrypting the reconstructed image matrix using a chaotic Rubik's Cube permutation algorithm based on nonlinear dynamics and an image filtering diffusion mechanism to obtain an encrypted image. This invention achieves high compression ratio, high-quality image recovery, and strong encryption security, effectively solving the privacy protection problem of image transmission in big data environments. By encrypting the compressed frequency domain information through chaotic Rubik's Cube and image filtering diffusion, a dynamic chaotic sequence strongly correlated with the plaintext is introduced to enhance the algorithm's resistance to cryptographic attacks, thereby forming an encrypted image with high compression ratio and high security.

The deep foundation pit supporting structure comprises a pile plate body, a pouring gate is reserved in the bottom end of the pile plate body, the bottom edge of the pile plate body inclines upwards towards the pouring gate from outside to inside to form a concrete converging section, and the top edge of the pile plate body is consistent with the bottom line shape of the concrete converging section; the current construction method can be optimized, the secondary repairing and filling frequency is reduced, and the construction efficiency is improved.

The embodiment of the invention provides a video generation model training method, a video generation method, a medium and a program product, and the training method comprises the steps: carrying out the pre-training of a generation model based on a first training data set, determining a corresponding video generation model, and enabling the first training data set to comprise training video data divided into a plurality of video blocks; training data in a second training data set are input into the video generation model, corresponding video data are output, and the training data comprise audio data and reference pictures; and adjusting the video generation model based on a scoring model to obtain a trained video generation model. The block scheduling processing is realized through pre-training, the real-time performance and efficiency of the processing are improved, the knowledge of the scoring model is efficiently transferred to the video generation model, the problem of high model reasoning delay is solved, the visual quality can be maintained, the processing speed is remarkably improved, and the problem of long-term consistency of a long video is solved.

The invention provides a working face dynamic machine-following panoramic video stitching method and device. The method comprises the following steps: calling an original video stream of a target camera; wherein the target cameras are a plurality of cameras which are determined according to the position information of the coal mining machine and are within a preset range with the coal mining machine as the center; mapping the plurality of original video streams to a global coordinate system of the same working face according to the position information through a dynamic coordinate system conversion algorithm to obtain a machine-following panoramic video stream; performing local correction on the machine-following panoramic video stream through a local deformation correction algorithm to obtain a corrected video stream; fusing the overlapping areas of the adjacent cameras in the machine-following panoramic video stream through a multi-band fusion algorithm to obtain a fused video stream; the dynamic panoramic video which takes the coal mining machine as the center and continuously changes along with the movement of the coal mining machine is generated, and the remote control operation efficiency is remarkably improved. And the visual quality and naturalness of the dynamic panoramic video are ensured.

This invention discloses a method for generating missing modalities in brain MRI based on hypergraphs and attention mechanisms. This method addresses the issue of missing modalities in multimodal brain MRI sequences such as T1, T1ce, T2, and FLAIR in clinical scenarios by constructing a unified multi-input multi-output translation framework. The method introduces hypergraph convolution and region-level self-attention into the generative network, aggregating group-level features from different tumors and healthy tissues and modeling structural relationships between sub-regions, preserving the spatial tissue structure of the tumor. Combined with bidirectional Mamba sequence modeling, it enables the 2D network to efficiently capture long-range dependencies between layers of 3D volumetric data, ensuring voxel-level spatial continuity. Through a teacher-student knowledge distillation mechanism, the student network learns structurally perceptual features without a tumor mask, achieving high-fidelity generation. This method can improve the overall quality of generated images and the detail fidelity of tumor lesions, thereby enhancing the performance of downstream tumor segmentation tasks and showing promising application prospects.

The present application belongs to the technical field of medical equipment, and particularly relates to a progressive defocus hyperopia correction glasses and a design method thereof, which has a lens structure with three functional partitions, the lens structure comprising a base lens, a central correction area in a central part of the base lens, a ring-shaped transition stimulation area outside the central correction area, and a peripheral strengthening area outside the transition stimulation area. The design of the progressive hyperopia defocus amount of the present application conforms to the effect that the retinal morphology forms a stepwise increase of the hyperopia defocus amount when transitioning from the macular area to the peripheral retina, and has a good vision correction and hyperopia treatment effect: the central area forms a clear object image, without affecting the patient's amblyopia training; the central peripheral visual field is relatively clear, ensuring the visual quality; the peripheral retina forms hyperopia defocus, promoting the growth of the eye axis and the decrease of the hyperopia degree.

The utility model discloses a water stop pull rod for non-equal straight section wall construction, including inner rod, outer rod, water stop piece, cone nut, fender assembly and at least two fender nuts for fixing formwork, the middle part fixed water stop piece of inner rod, and the outer rod is connected through the cone nut between the inner rod to form the two -segment structure of detachable, and fender assembly includes the profiling pad piece for abutting bevel support and the plane gasket for abutting vertical support, and when two -segment structure is set in formwork, profiling pad piece movably sets up in the inner rod, and plane gasket movably sets up in the outer rod, and profiling pad piece is abutted to bevel support through the cooperation of one fender nut, and plane gasket is abutted to vertical support through the cooperation of another fender nut, so this can replace the three -segment water stop screw rod and silk screw rod of prior art, and guarantee the visual quality after wall forming.

This invention provides a wide-field-of-view 3D reconstruction method based on variable-space dual-core particles, comprising: acquiring multi-view RGB image data using underwater image acquisition equipment; initializing the acquired data using a motion recovery structure algorithm to generate point cloud data; establishing 3D Gaussian particles for the coordinate points on the initialized point cloud; and performing parameterization processing on the 3D Gaussian particles in Cartesian coordinate space to obtain parameter information such as their geometric center, 3D covariance matrix, normal vector, opacity, and color; establishing a Gaussian dual-core particle model; establishing a segmentation plane passing through the geometric center of the 3D Gaussian particles; establishing a Gaussian variable-space particle model; introducing a fourth-dimensional variable-space parameter for the Gaussian dual-core particles; and using the variable-space parameter to perform multi-parameter mapping of the Gaussian dual-core particles from Cartesian coordinate space to homogeneous coordinate space to complete the parameter enhancement and reconstruction of Gaussian particles in infinite space within the wide-field-of-view.

The application discloses a secret information embedding video method, a video steganography method and related devices, the application constructs a two-dimensional array of coding units, expands the original one-dimensional representation to a structured two-dimensional embedding space, significantly increases the number of candidate states available for each embedding operation, lays the foundation for high-capacity embedding, introduces polygon division, realizes region-based coding instead of point-based mapping, greatly improves the expression ability of the prediction unit division mode, so that more secret information can be embedded under limited structural modification, through the position relationship between the element S and the cover domain, the replacement set of the element S is screened out, the replacement element of the element S is determined based on the distance and is replaced to complete the secret information embedding, the distortion cost caused by different modification directions and structural disturbance can be more accurately simulated, the candidate replacement element is ensured to remain within an acceptable distortion range, so that the minimum distortion principle can be enforced, and the visual quality can be effectively maintained.

The invention relates to the technical field of 3D Gaussian splashing, in particular to a three-dimensional Gaussian compression method and system based on just perceptible distortion, and the method comprises the steps: collecting images, integrating and building a data set, and inputting the data set into a JND model to obtain a corresponding JND image; inputting the data set and the corresponding JND image into an anchor point-based 3DGS compression method model for training, sequentially obtaining the opacity and the JND score accumulation value of the anchor point, designing a loss function, and optimizing the attribute of the anchor point; judging whether the anchor point is pruned or not according to the opacity and the JND score accumulated value, and completing training of a 3DGS compression method model based on the anchor point; and the trained anchor point-based 3DGS compression method model outputs a rendered image. Extreme compression is achieved on the premise that human visual perception is not affected based on just perceptible differences, and an effective technical scheme is provided for storage and transmission of three-dimensional visual data.

The present invention relates to the field of geographic information security technology, and in particular to a vector map watermark embedding method and system. The method comprises: constructing a vector map learning model based on a deep neural network architecture including an encoder and a decoder, wherein the input of the model is an original vector map, the output of the encoder is the geographic features of the original vector map, and the output of the decoder is a vector map containing geographic feature data; training the vector map learning model; inputting the original vector map into the trained vector map learning model, outputting a vector map containing geographic feature data, recorded as a first vector map; generating a watermark bit stream using a hash algorithm; and embedding the watermark bit stream into the geographic feature data of the first vector map using a strategy of dynamically adjusting the watermark embedding strength, thereby obtaining a vector map after watermark embedding, which can adapt to the structural characteristics of the vector map and has high robustness and transparency of watermark embedding, thereby realizing safe and reliable vector map data protection.

This invention discloses an image data processing method based on heterogeneous multi-agent and frequency domain attention feedback, belonging to the fields of artificial intelligence security and digital image processing technology. The method acquires the image to be processed and real / generated category labels, constructs a heterogeneous agent detection model group containing a convolutional neural network and a visual Transformer; performs discrete cosine transform on the image to estimate frequency domain sensitivity and generate a frequency domain attention mask; adaptively constructs a frequency domain query subspace based on category prior, generates frequency domain integrated initialization data, and performs frequency domain decision boundary search on a target detection model that only returns hard labels; updates the attention mask and query subspace according to query feedback, and finally obtains a pixel-domain processed image that satisfies the perturbation budget through inverse discrete cosine transform. This invention can reduce the number of black-box queries, improve the processing success rate, and maintain image visual quality.

The invention belongs to the technical field of industrial collaborative augmented reality, and relates to an AR perception interaction system and method based on integration of computing and network, and the system comprises the following modules: a multi-modal perception collection module which collects a multi-modal original perception stream; the preliminary spatial relationship calculation module is used for generating a preliminary spatial relationship vector representing the local position of the equipment; the global collaborative feature construction module is used for constructing a global collaborative behavior feature matrix; the collaborative mode recognition and judgment module is used for generating a unique computing power and precision strategy instruction; the differentiated task distribution module is used for dynamically recombining the augmented reality content and generating and issuing differentiated collaborative rendering task packages; the self-adaptive virtual-real fusion display module is used for executing self-adaptive virtual-real fusion display; and the off-network self-sustaining collaboration module is used as a unique positioning reference and collaboration center for other off-network equipment in the field. According to the method, the problems that the high-precision cooperation requirement is difficult to meet, and the virtual-real fusion effect is poor due to position deviation accumulation among multiple devices are solved.

This invention proposes a method for converting between color and grayscale images. It can convert a color image to a grayscale image, significantly reducing storage requirements and concealing the true color image; conversely, it can convert the grayscale image back to a color image, restoring the true color image without visual distortion. By utilizing information hiding and data compression to store and transmit color images as grayscale images, the data volume can be reduced to one-third of the original. This ensures that the image holder can recover the original color image, while others can only obtain a grayscale image and cannot recover the original color image from it.

The present invention relates to a formwork structure for a window sill and a method for its application and construction. The formwork structure for the window sill and parapet comprises an inner formwork, an outer formwork, a connector and a flexible slurry retaining strip, wherein the outer formwork comprises a first end and a second end arranged opposite to each other; a connector is arranged at the first end, and the outer formwork is connected to the inner formwork via the connector; a flexible slurry retaining strip is close to the second end and is arranged on the surface of the outer formwork away from the inner formwork, wherein the flexible slurry retaining strip partially extends out of the second end. The formwork structure for the window sill and parapet connects the inner formwork and the top of the outer formwork via a connector, which effectively improves the stability of the outer formwork; a flexible slurry retaining strip is arranged at the bottom to ensure the tightness between the bottom of the outer formwork and the cast beam and slab, avoid the occurrence of slurry leakage, effectively ensure the casting quality, and improve the overall visual quality. In addition, the method for the application and construction of the formwork structure for the window sill and parapet has simple steps and is easy to operate, and is suitable for popularization and application.

The invention provides a method for preventing concrete slurry leakage in concrete pouring construction, which comprises the following steps of: marking an elevation control point on a reinforcing steel bar before the concrete pouring construction operation, timely carrying out slurry collection and plastering after the concrete pouring of a bottom plate plane is finished, and controlling the flatness within 5mm; enclosing wall and column templates are assembled according to the design size, one-time mold sealing is adopted, a full-length sponge strip with the thickness of 5 mm is attached to the bottom of a wall root along a template line, and edge pressing treatment is conducted on the templates through battens along a template control line; and after the bottom sealing mortar pouring formwork is installed, concrete mortar with the same mark number and the height of 5-10 cm is poured firstly, and then column pouring is conducted. According to the method, the quality problems of root rot, holes and the like caused by slurry leakage are avoided.

The invention provides a slimming technical method based on a JAVA picture. The method comprises the following operation steps: S1, selecting a picture; s2, basic processing of the picture: carrying out basic processing on the picture by using a JAVA technology; s3, setting picture quality, and controlling the picture quality by using a JAVA technology; s4, picture format conversion: performing format conversion on the picture by using a JAVA technology; s5, picture source information is cleared, the source information of the picture is analyzed through the JAVA technology, and any EXIF information is removed; s6, previewing the image; s7, judging whether the requirement is met or not, judging whether the preview image in the step S6 meets the requirement or not, if yes, executing the step S8, and if not, executing the step S2; and S8, storing the file. According to the method, the storage size of the picture is reduced as much as possible while the definition of the picture is guaranteed, the picture is loaded at the fastest speed, the minimum flow and the minimum storage, the user experience is improved, the picture slimming effect can be improved, and the picture slimming cost is reduced.