Color filters are used for color images obtained using imaging devices such as conventional image sensors. Imaging elements with color filters are sold, and an appropriate combination of the imaging element and a lens or the like is incorporated in an electronic device. Only providing a color filter to overlap a light-receiving region of an image sensor reduces the amount of light reaching the light-receiving region.

An imaging system of the present invention includes a solid-state imaging element without a color filter, a storage device, and a learning device. As a selection standard for reducing the amount of learning data, in an HSV color space, saturation is used, and selection is performed so that the saturation has optimal distribution. When colorization disclosed in this specification is performed, the colorization and object highlight processing can be performed at the same time.

Control of sending content based on originating party consent is defined at the time content is sent or is pre-defined by the originating party. Metadata and originating party identifiers are attached to files to control sharing functionality at the operating system level and/or the application level. Only files consented to be sent may be shared by a receiving user. When consent is given to share a file, the receiver who subsequently shares the file becomes the controlling sender having authority to consent to further sharing of the file.

An image signal processor, an operating method thereof, and an image processing system are provided. The image processing system includes: a control processor configured to generate and output setting information corresponding to N (where N is an integer of 2 or more) image frames; and an image signal processor configured to perform image processing on the N image frames received from an image sensor based on the setting information, and generate an interrupt signal and transmit the interrupt signal to the control processor based on completion of the image processing performed on the N image frame.

A display includes a display portion formed of an array of unit pixels that each respectively include a light source pixel and a detector pixel. The display includes a control driver including a light source driver and a data driver which are respectively connected to each light source pixel, and a detector driver which is connected to each detector pixel. The display includes a controller configured to control the control driver to operate the display portion in a first mode, a second mode, and a third mode that are each different from each other.

A chip recognizing and learning system includes: a game recording device configured to record a state of chips piled up on a gaming table as an image by a camera; a chip determining device including an artificial intelligence device configured to analyze the recorded image of the state of the chips to determine the numbers and kinds of chips bet by a player; and a teaching device configured to input, in a case where it is determined that there is a doubt for an error in a determining result of the chip determining device, the image used for determination of the chip determining device and the correct numbers and correct kinds of chips for the error as teaching data to the artificial intelligence device to allow the artificial intelligence device to perform learning.

A method for treating plants in a field, in which a specific crop is planted, has the following steps: selecting a treatment tool for treating plants; capturing an image of the field, the image being correlated with positional information; determining a position of a plant to be treated in a field, using a neural network into which the captured image is fed, wherein the neural network has multiple specific classes and a general class, the crop belongs to one of the specific classes, and plants not corresponding to the crop belong to both one of the specific classes and to the general class, or at least belong to the general class; directing the treatment tool to the position of the plant; and treating the plant using the treatment tool.

In a general aspect, a data management system for spatial phase imaging is described. A data management system for spatial phase imaging includes: a storage engine configured to receive and store input data in a record format, the input data including: pixel-level first-order primitives generated based on electromagnetic (EM) radiation received from an object located in a field-of-view of an image sensor device; and pixel-level second-order primitives generated based on the first-order primitives. The data management system further includes: an analytics engine configured to determine a plurality of features of the object based on the pixel-level first-order primitives and the pixel-level second-order primitives; and an access engine configured to provide a user access to the plurality of features of the object determined by the analytics engine and to the input data stored by the storage engine.

An information processing device (100) is provided with a generation unit that acquires an input image serving as an intraoperative image and generates an output image based on whether the input image includes an intraoperatively generated matter or not.

An indoor navigation method is provided, including: receiving an instruction for navigation, and collecting an environment image; extracting an instruction room feature and an instruction object feature carried in the instruction, and determining a visual room feature, a visual object feature, and a view angle feature based on the environment image; fusing the instruction object feature and the visual object feature with a first knowledge graph representing an indoor object association relationship to obtain an object feature, and determining a room feature based on the visual room feature and the instruction room feature; and determining a navigation decision based on the view angle feature, the room feature, and the object feature.

The present invention generally relates to the field of automated and flexible information extraction and protection for graphical data. In particular, the invention provides a unique platform for analyzing, classifying, extracting, and processing information from images using deep learning image detection models. Embodiments of the inventions are configured to provide an end to end automated solution for intelligently hiding or obscuring private data from graphical displays via the use of embedded steganographic image data techniques.