An image signal processor and an image sensor including the same are disclosed. An image sensor includes a pixel array configured to convert received optical signals into electrical signals, a readout circuit configured to convert the electrical signals into image data and output the image data, and an image signal processor configured to perform deep learning-based image processing on the image data based on training data selected from among first training data and second training data based on a noise level of the image data.

A calibration operation support device is applied to a system including an industrial camera and a display device displaying a predetermined image that is an image of a predetermined area being captured by the industrial camera, and includes a processing device configured to perform a calibration of the industrial camera based on captured images that are obtained by capturing a calibration pattern by the industrial camera. The processing device is further configured to instruct the display device to display positions of the calibration patterns in the captured images acquired as images to be used for the calibration in a manner superimposed on the predetermined image.

A media capture device (MCD) that provides a multi-sensor, free flight camera platform with advanced learning technology to replicate the desires and skills of the purchaser/owner is provided. Advanced algorithms may uniquely enable many functions for autonomous and revolutionary photography. The device may learn about the user, the environment, and/or how to optimize a photographic experience so that compelling events may be captured and composed into efficient and emotional sharing. The device may capture better photos and videos as perceived by one's social circle of friends, and/or may greatly simplify the process of using a camera to the ultimate convenience of full autonomous operation.

A vehicular test system for testing a vehicular sensing system includes a sensor support structure having a proximal end disposed at a vehicle, a distal end extending away from the vehicle, and a force providing element that provides a force to move the distal end of the sensor support structure. A vehicular sensor is disposed at the distal end of the sensor support structure. When the vehicular sensor is approaching a collision with an object, such as during testing of vehicular sensors and vehicular sensing systems, a control controls the force providing element to move the distal end of the sensor support structure and the vehicular sensor to avoid the collision.

An electronic apparatus is disclosed. The electronic apparatus includes: a memory storing a first pattern image and a second pattern image, a communication interface comprising communication circuitry configured to communicate with an external terminal apparatus, a projection part including a projection lens, and a processor configured to: control the projection part to project the first pattern image on a screen member comprising a reflector located on a projection surface, and based on receiving a first photographed image which photographed the screen member from the external terminal apparatus through the communication interface, acquire transformation information based on the first photographed image and the first pattern image, control the projection part to project the second pattern image on the projection surface, and based on receiving a second photographed image which photographed the projection surface from the external terminal apparatus through the communication interface, perform color calibration based on the characteristic of the projection surface based on the second photographed image, the second pattern image, and the transformation information.

A tangible, non-transitory machine-readable medium includes machine-readable instructions that, when executed, cause processing circuitry to receive a signal indicative of high dynamic range content. The signal includes 1) a first portion that forms a first percentage of the signal and is associated with a first brightness range and 2) a second portion that forms a second percentage of the signal associated with a second brightness range. The instructions, when executed, are also configured to cause the processing circuitry to produce an adjusted signal to represent the signal such that a graphical representation of the adjusted signal includes an area corresponding to the first portion of the signal that is expanded relative to a graphical representation of the first portion of the signal. Furthermore, the instructions, when executed, are configured to cause the processing circuitry to cause display of a graphical representation of the adjusted signal.

A tangible, non-transitory machine-readable medium includes machine-readable instructions that, when executed, cause processing circuitry to receive a signal indicative of high dynamic range content. The signal includes 1) a first portion that forms a first percentage of the signal and is associated with a first brightness range and 2) a second portion that forms a second percentage of the signal associated with a second brightness range. The instructions, when executed, are also configured to cause the processing circuitry to produce an adjusted signal to represent the signal such that a graphical representation of the adjusted signal includes an area corresponding to the first portion of the signal that is expanded relative to a graphical representation of the first portion of the signal. Furthermore, the instructions, when executed, are configured to cause the processing circuitry to cause display of a graphical representation of the adjusted signal.

Banding effects in an image or video are assessed. The image or each frame of a video is decomposed into luminance or color channels. Signal activity is computed at each spatial location in each channel. A significance of the signal activity at each spatial location is determined by comparing each element of the signal activity with a significance threshold. Banding pixels are detected as those pixels of the image or frame having significant signal activity at their respective spatial locations and having non-significant signal activity of at least a minimum threshold percentage of neighboring pixels to the respective spatial locations.

Provided is a method of operating an assessment device which communicates with an image sensor and includes an input buffer and a processor, the method including receiving, by the input buffer, raw image data from the image sensor that is configured to capture a test chart, generating, by the processor, conversion image data based on color domain transformation of the raw image data, generating, by the processor, estimation image data by estimating a non-distorted image based on the conversion image data, and assessing, by the processor, color distortion of the image sensor based on the estimation image data and the conversion image data.

A processing system sets up two or more circuits of a plurality of circuits as two or more processing circuits. The two or more processing circuits subject respective input signals from a sensor to signal processing. The processing system sets up at least one circuit of the plurality of circuits to serve as a reference circuit. The at least one circuit being smaller in number than the two or more processing circuits and being other than the processing circuits. The determination circuit is configured to perform abnormality determination for a determination target circuit which is any one of the two or more processing circuits based on a comparison result between an output signal of the determination target circuit and an output signal of the reference circuit.