13 results about "Visual artifact" patented technology

This disclosure provides methods, devices, and systems for navigating medical instruments. The present implementations more specifically relate to photometric image enhancement techniques for endoscopy. In some aspects, a machine learning model may be trained to infer an enhanced image from a low-quality image captured by the camera of an endoscope. As used herein, the term “low-quality image” refers to any image containing visual artifacts, obstructions, and / or other deficiencies. By contrast, an “enhanced image” is a digitally modified representation of a low-quality image that removes and / or corrects at least some of the visual artifacts, obstructions, or other deficiencies in the low-quality image. A controller for a medical system may extract information from the enhanced image based on one or more image processing operations and generate a graphical user interface (GUI) for navigating the instrument within the anatomy based at least in part on the information extracted from the enhanced image data.

A wearable heads-up display (WHUD) reduces the prevalence of visual artifacts by employing a projector with a combiner including a plurality of combiner elements such as dichroic prisms. The projector is configured with one or more features that 1) reduce the amount of stray light generated at the combiner 2) change the path of the stray light so that the stray light is unable to exit the projector and thus is unable to create visual artifacts, or any combination thereof. By reducing the stray light that is generated and by changing the path of the stray light as described herein, the likelihood that a user will see a visual artifact is reduced, thus improving the user experience with the WHUD system.

This invention discloses a general robustness enhancement method for a circuit board solder joint defect identification model. First, training samples are input into a pre-trained general diffusion generation model to extract latent variables. A flexible penalty term based on ReLU properties is used to replace hard truncation to constrain the perturbation range, leveraging the strong structural prior of the diffusion model to ensure that the generated latent space adversarial samples highly conform to the distribution of real solder joint images. Second, a smoothing period is introduced during the adversarial optimization iteration of latent variables, and a strategy based on historical averages is used to periodically update the optimization trajectory to filter out high-frequency components, thereby avoiding visual artifacts caused by drastic fluctuations in latent variables and interference with the learning of real features. Finally, before calculating the adversarial loss, the generated samples are subjected to multi-scale scaling and multi-directional translation, and the target model weights are randomly zeroed multiple times to simulate the training blind zone, so that the calculation of the adversarial gradient covers the uncertainty of spatial geometric transformation and model dynamic evolution.

A light emitting display can be formed from tiles mounted within a certain distance range with respect to each other and with an established blending region positioned towards the edges of the tiles. A tile can be a matrix of light emitting elements, such as LEDs, OLEDs, quantum dots, or other element that emits light. The tolerance of spacing between tiles can allow for less precision in alignment during installation in a theatre, thereby reducing display assembly cost but still maintaining a display for displaying an image at a high quality with reduced or eliminated appearance of visual artifacts between tiles.

This application relates to a method, apparatus, device, medium, and program product for automatic registration of remote sensing images. The method includes: determining the effective overlapping and non-overlapping regions of a reference image and an image to be registered; adaptively selecting a global registration process or a block registration process based on the size of the effective overlapping region to obtain corresponding image pairs for registration processing; filtering feature matching point pairs that meet a preset confidence threshold; performing geometric transformation estimation and image correction adapted to the corresponding registration process on the effective overlapping and non-overlapping regions based on the feature matching point pairs; and, in the case of executing the block registration process, performing intelligent stitching through a globally optimal seam fusion algorithm based on dynamic programming to generate a visually seamless second registration result image. This method can improve the robustness and accuracy of feature matching in complex scenes, effectively eliminate visual artifacts in the stitching of registered images, and achieve visually seamless fusion.

This application proposes a method and system for inspecting the construction quality of decorative engineering based on image recognition, belonging to the field of image recognition technology. The method includes acquiring visible light images, three-dimensional morphological data, and thermophysical state data of the decorative material to be inspected. The visible light images characterize the visual features of the decorative material, the three-dimensional morphological data characterizes the three-dimensional structural features, and the thermophysical state data characterizes the surface temperature characteristics. The visible light images are analyzed to identify potential abnormal areas on the decorative material. Based on the visible light images, three-dimensional morphological data, and thermophysical state data, the potential abnormal areas are judged to distinguish between real defects and visual artifacts, resulting in a judgment result. Based on the judgment result, a report containing confirmed real defect information is generated. This application can improve the accuracy and reliability of inspection.

One embodiment provides a method comprising receiving content for presentation on a display, and obtaining a plurality of image patches from the content. Each image patch is segmented from a bottom and horizontal-center portion of a sub-sampled grayscale image of a frame of the content. The method further comprises applying a searching algorithm to the plurality of image patches to detect a region of interest of moving text in the content. The searching algorithm utilizes a first set of features and a second set of features to detect the region of interest with respect to a vertical axis and a horizontal axis of the display, respectively. The method further comprises correcting one or more visual artifacts in the region of interest, where the one or more visual artifacts include broken text.

An ophthalmic device containing a visible light filter is described. The present invention provides an ophthalmic device that is the product of a free radical reaction of a reactive mixture comprising: one or more monomers suitable for manufacturing ophthalmic devices; a first visible light filter compound having a maximum visible light absorption between 430 nm and 480 nm and a full width at half maximum (FWHM) of at least 35 nm and at most 150 nm at the maximum visible light absorption, wherein the first visible light filter compound is photostable, and wherein the first visible light filter compound has a concentration of at least 7740 L·mol⁻¹. ‑1 .cm ‑1 The device contains a molar extinction coefficient and a second visible light filter compound having a maximum visible light absorption between 480 nm and 530 nm and a full width at half maximum (FWHM) of at least 50 nm and at most 150 nm. The reactive monomer mixture may also contain a third visible light filter compound. These devices can provide one or more visually beneficial effects, including enhanced macular pigment optical density, improved color perception and color enhancement, and reduced visual artifacts.

This invention relates to the field of path planning technology, and provides a dynamic path planning method for large-scale raster maps. It constructs a three-layer policy mask comprising a permitted normal layer, an execution-state temporary extension layer, and a service alarm layer to clearly delineate path regions with different functions. Initial path planning is performed at the permitted normal layer based on a region of interest-thick line view-through direct pull search strategy, ensuring the normal security and stability of the initial path. Detour path planning is performed at both the permitted normal layer and the execution-state temporary extension layer based on the same strategy, enabling real-time, efficient, and secure orderly planning when detour requirements are detected. Regression convergence processing is performed on candidate detour path segments based on the baseline path and the initial rendered path, further improving path security and smoothness. Corner alignment resampling processing is performed on intermediate rendered paths to effectively avoid visual artifacts.

The application discloses a kind of live cell clathrin imaging parameter optimization method and related device based on SRRF nanoscope, it is related to biomedical imaging field, the method includes under live cell culture condition, when using TIRF microscope to the time series imaging of live cell sample expressing fluorescent label, original image sequence is obtained;It is input NanoJ-SRRF processing system, a plurality of core reconstruction parameters are systematically combined, and several super-resolution reconstruction images are generated;For the super-resolution image reconstructed by each combination parameter, comprehensive quantitative evaluation is carried out using multimodal evaluation system, and multimodal quantitative quality evaluation result is obtained;Based on this result, the parameter combination that meets the preset resolution, structure fidelity index and the minimum visual artifact is screened out, and the optimal parameter set for the imaging of live cell clathrin coated pit is determined.The application can reduce reconstruction artifact, realize high-fidelity nanoscale observation of live cell CCP dynamics.

The application provides an explainable text image tampering detection method and system based on fusion of visual artifacts and semantic anomalies, which comprises the following steps: obtaining a tampered text image and its corresponding tampering analysis report pair for data preprocessing; constructing a tampering locator and training the tampering locator based on the data preprocessed tampered text image and tampering analysis report; constructing a tampering interpreter and training the tampering interpreter based on the data preprocessed tampered text image and tampering analysis report; obtaining a tampering detection model based on the trained tampering locator and tampering interpreter, and inputting a to-be-detected image into the tampering detection model to realize tampering detection. The application utilizes a visual expert model and a multimodal large language model to work cooperatively, realizes accurate positioning and cause explanation of the tampering area, and maintains high detection accuracy and robustness under compression, blurring and other degradation and cross-scene conditions, and has high practicability.

A projection display system comprises a light source configured to emit a light in response to a content data; an optical modulator configured to modulate the light; and a controller configured to adjust a light level of the projection display system based on the content data and a metadata relating to a future frame, thereby to reduce a perceptibility of a visual artifact.