A detector detects an overall fill level of a receiving vehicle. A mobile device on the receiving vehicle includes a mobile application that receives and displays the overall fill level of the receiving vehicle. The overall fill level can be overlaid on a geographic map that shows locations of multiple receiving vehicles, in which case an overall fill level indicator for each receiving vehicle is displayed on the geographic map as well.

A method comprising the steps of obtaining at least one frame of input data from at least one sensor, the frame of input data representative of a real-world environment at a given time. The frame is analysed to determine at least a foveal region within the frame, and at least a method for generating depth information associated with the real-world environment based on the frame of input data is selected. The method is applied to the foveal region to generate depth information associated with the foveal region, and at least the depth information associated with the foveal region is outputted.

An image processing apparatus including a determining unit configured to determine, based on at least one of a first conversion characteristic or a second conversion characteristic, a conversion characteristic of each of a plurality of regions in a first image having a first dynamic range, and a conversion unit configured to convert an image of each of the plurality of regions into a second image having a second dynamic range less than the first dynamic range by using the conversion characteristic determined by the determining unit. In relation to input luminance and output luminance, the first conversion characteristic has a higher characteristic of maintaining tone than the second conversion characteristic, and has a lower characteristic of maintaining contrast than the second conversion characteristic.

A method for depth image acquisition, a device (10) for depth image acquisition, and an electronic device (100) are provided. The method includes the following. An image of a field is obtained to determine a region of interest (ROI) in the image of the field. A current distance to the ROI is obtained. A time-of-flight depth camera (20) is controlled to obtain a current depth image of the field in response to the current distance being greater than a first distance. Both a dual camera (30) and the time-of-flight depth camera (20) are controlled to obtain the current depth image of the field in response to the current distance being not greater than the first distance.

A system comprising a first image processing arrangement and a second image processing arrangement, wherein the first image processing arrangement comprises a controller configured to: a) receive an image; b) select a task and a task identifier associated with task data; c) compress the image based on the task data; and d) transmit the compressed image to the second image processing arrangement for processing, and wherein the second image processing arrangement comprises a controller configured to: e) receive the compressed image and task identifier; f) retrieve task parameters associated with the task identifier; g) process the compressed image based on the task parameters; h) determine results and i) transmit the at least indications of the determined results to the first image processing arrangement, and the controller of the first image processing arrangement is further configured to: j) receive at least indications of a result of the processing from the second image processing arrangement; and k) indicate the result.

An image processing system includes an image acquisition unit configured to acquire an image signal generated by an imaging device that captures an optical image having a low-distortion region and a high-distortion region, a setting unit configured to set a distortion-correction region on which distortion-correction is performed for the image signal and a non-distortion-correction region on which distortion-correction is not performed for the image signal on the basis of characteristics of the optical image; and a display signal generation unit configured to perform distortion-correction for the image signal of the distortion-correction region on the basis of the characteristics of the optical image, and generate a synthesized image by synthesizing the image signal on which distortion-correction has been performed and the image signal of the non-distortion-correction region.

Various methods and systems are provided for x-ray imaging. In one embodiment, a method includes acquiring, with an x-ray detector, an x-ray image of a subject, determining a transformation that minimizes anti-scatter grid artifacts in the x-ray image, correcting the x-ray image according to the transformation to generate a corrected image, and outputting the corrected image. In this way, artifacts arising from a misalignment of an anti-scatter grid between the calibration and the acquisition may be reduced.

Some embodiments relate to sharpening segments of an image differently based on content in the image. Content based sharpening is performed by a content image processing circuit that receives luminance values of an image and a content map. The content map identifies categories of content in segments of the image. Based on one or more of the identified categories of content, the circuit determines a content factor associated with a pixel. The content factor may also be based on a texture and/or chroma values. A texture value indicates a likelihood of a category of content and is based on detected edges in the image. A chroma value indicates a likelihood of a category of content and is based on color information of the image. The circuit receives the content factor and applies it to a version of the luminance value of the pixel to generate a sharpened version of the luminance value.

Described herein is a computer implemented method. The method includes accessing input image data defining a plurality of input pixels and processing the input image data to generate output image data. The output image data defines a plurality of output pixels, each corresponding to an input pixel. At least one output pixel is generated by a sampling process that includes: selecting a working pixel from the plurality of input pixels; selecting a set of sample pixels for the working pixel, wherein each sample pixel is an input pixel that is selected as a sample pixel based on whether the input pixel is positioned within a depth-adjusted sampling area, the depth-adjusted sampling area for a particular input pixel being determined based on a depth separation between that particular input pixel and the working pixel; and generating an output pixel corresponding to the working pixel based on the set of sample pixels.

Systems and techniques are described for processing image data to generate an image with a synthetic depth of field (DoF). An imaging system receives first image data of a scene captured by a first image sensor. The imaging system receives second image data of the scene captured by a second image sensor. The first image sensor is offset from the second image sensor by an offset distance. The imaging system generates, using at least the first image data and the second image data as inputs to one or more trained machine learning systems, an image having a synthetic depth of field corresponding to a simulated aperture size. The simulated aperture size is associated with the offset distance. The imaging system outputs the image.