An image processing method for harmonizing images acquired by a first camera and a second camera connected to a vehicle and arranged in such a way as their fields of view cover a same road space at different times as the vehicle travels along a travel direction is disclosed. The method includes: acquiring by a selected camera, a first image at a first time; selecting a first region of interest bounding a road portion from the first image; sampling the first region of interest; acquiring by the other camera, a second image in such a way that the road portion is included in a second region of interest; sampling the second region of interest; and determining one or more correction parameters for harmonizing images acquired by the first and second cameras, based on a comparison between the image content of the first and second regions of interest.

A device for assembling at least two shots of a scene acquired by at least one sensor includes a memory and processing circuitry. The processing circuitry is configured to save, in the memory, a first data set contained in a first signal generated by each pixel of the sensor and indicative of a first shot of the scene, and a second data set contained in a second signal generated by each pixel of the sensor and indicative of a second shot of the scene. The processing circuitry is further configured to assemble the first and second shots on the basis of the content of the first and second data sets of a plurality of pixels in order to form a resulting scene.

Systems and methods are presented that provide for receiving, at a media overlay publication system from a first client device, content to generate a media overlay, and generating the media overlay using the content received from the client device. The generated media overlay is stored in a database associated with the media overlay publication system and associated with a first characteristic of the content received from the first client device. The media overlay is provided to a second client device when a second characteristic of context data associated with the second client device correlates to the first characteristic for the media overlay, causing a display of the media overlay on a user interface of the second client device.

An image processing device includes: a determination means for determining an image capturing means used for capturing at least one particular portion in a combined image in which a first partial image captured using a first image capturing means and a second partial image captured using a second image capturing means are stitched together; and a correction means for applying image correction to the combined image based on a determination result of the determination means.

An image processing device, an image processing system, an imaging device, an image processing method, and a recording medium storing program code. The image processing device includes a receiver configured to receive a first image and a second image, a memory configured to store a joining position at each one of a plurality of portions between the first image and the second image received by the receiver, and circuitry configured to evaluate, for each of the plurality of portions, validity of the joining position in a past stored in the memory, and generate a composite image based on the first image and the second image received by the receiver and the joining position in the past stored in the memory on a site where the validity meets a criterion. The method includes reading a past joining position at each one of a plurality of portions between a pair of images.

Aerial imagery may be captured from an unmanned aircraft or other aerial vehicle. The use of aerial vehicle imagery provides greater control over distance from target and time of image capture, and reduces or eliminates imagery interference caused by clouds or other obstacles. Images captured by the aerial vehicle may be analyzed to provide various agricultural information, such as vegetative health, plant counts, population counts, plant presence estimation, weed presence, disease presence, chemical damage, wind damage, standing water presence, nutrient deficiency, or other agricultural or non-agricultural information. Georeference-based mosaicking may be used to process and combine raw image files into a direct georeferenced mosaic image.

An adaptive image acquisition system and method that generates virtual view of a surveillance scene to a user (operator), in which, the user operates the system. Through viewing the virtual view, the user controls sensors that create the virtual view. The sensors comprise at least one first sensor having a higher resolution than at least one second sensor. Images from the second sensor are processed to create an image mosaic that is overlaid with images from the higher resolution first sensor. In one embodiment of the invention, the first sensor is moved using Saccade motion. In another embodiment of the invention, a user's intent is used to control the Saccade motion.

To efficiently transmit image map data to a client device, a map server selects map data for rendering a digital map of a certain geographic area at the client device and generates multiple map image layers using the selected map data, each covering the geographic area. In particular, the map server generates (i) a first map image layer including a first type of geographic data and having a first resolution, and (ii) a second map image layer including a second type of geographic data and having a second resolution. The map server then transmits the multiple map image layers to the client device via a communication network for generating a single digital map of the geographic area.

An encoding method includes; acquiring a first image; separating the first image into a plurality of second images by extracting a pixel in the first image after every predetermined number of pixels in each of horizontal and vertical directions of the first image; and encoding each of the separated second images. By transmitting those pieces of encoded data, even if a packet loss occurs in one of the second images, the missing pixel can be re-generated based on corresponding neighboring pixels in other second images.

An image processing apparatus that is capable of performing an alignment process with sufficient accuracy, even if a moving amount of an object is large among a plurality of images. A setting unit sets up image sets using a plurality of images obtained by continuous photography. A first calculation unit calculates a first conversion coefficient corresponding to a moving amount of an object between images in each of the image sets. A second calculation unit calculates a second conversion coefficient used for an alignment process about a correction target image other than a base image included in the images by multiplying a plurality of first conversion coefficients. A generation unit generates an alignment image in which the object in the correction target image is aligned to the object in the base image by applying a conversion process to the correction target image using the second conversion coefficient.