A method for processing image data having noise and information, including: acquiring input raw image data having pixels of an image sensor used to take the image data, processing the input data, and outputting processed image-output data. The step of acquiring input data includes acquiring an input-noise model from the input data, and the step of processing the input raw image data includes a preprocessing operation and determining an output-noise model adapted to reflect noise in the output data, and producing output raw-image data consistent with the output-noise model, and the step of outputting the processed image data includes storing and/or transmitting the output raw image data and the output-noise model, which together form the output data, in a manner linking the output raw image data to the output-noise model, thereby allowing processing of the output data, as input data, such that the processing is adapted for pipeline processing.

An abnormal-pixel detecting device includes an image sensor and an image processor. The image sensor is configured to capture an image of a subject. The image processor is configured to calculate: a ratio between a first plurality of pixel values captured by the image sensor and a second plurality of pixel values whose reference position is shifted relative to the first plurality of pixel values in a main scanning direction to obtain a third plurality of pixel values; and detect an abnormal pixel in the third plurality of pixel values.

Provided is an image processing apparatus for correcting blinking defect noise contained in image data generated by an image sensor. The image sensor includes a pixels arranged two-dimensionally and reading circuits configured to read a pixel value. The image processing apparatus includes: an information acquisition unit configured to acquire noise information that is defined by associating positional information of the reading circuits or positional information of each of the pixels with feature data related to the blinking defect noise caused by the reading circuits; an estimation unit configured to estimate a random noise amount in a pixel of interest based on the feature data and a random noise model for estimating the random noise amount in the pixel of interest; and a correction unit configured to correct a pixel value of the pixel of interest based on the random noise amount estimated by the estimation unit.

In one example, an imaging device including a plurality of pixel circuits, a first control line, a second control line, a first voltage supply line, a second voltage supply line, a first light-receiving element, and a diagnosis unit is disclosed. The pixel circuits each include a first terminal, a second terminal, a third terminal, an accumulation unit, a first transistor, a second transistor, and an output unit. The first transistor is couples the third terminal to the accumulation unit on the basis of a voltage of the first terminal. The second transistor supplies a predetermined voltage to the accumulation unit on the basis of a voltage of the second terminal. The output unit outputs a signal corresponding to a voltage in the accumulation unit.

In an image processing apparatus, a first correction unit corrects imaging data acquired from an infrared imaging device, based on a first correction table, and outputs first corrected data. A second correction unit generates a second correction table for the imaging data in a state in which a shutter is closed, and outputs second corrected data based on the second correction table. A saturated region detection unit detects a saturated region in the imaging data. A shutter control unit performs closing control for the shutter, based on a result of detection of the saturated region. An abnormal pixel detection unit detects whether or not the imaging data acquired in the state in which the shutter is closed includes an abnormal pixel. A selection unit selects and outputs either the first corrected data or the second corrected data in accordance with a result of detection by the abnormal pixel detection unit.

An imaging system according to the present disclosure includes: an imaging device that is mounted in a vehicle, and captures and generates an image of a peripheral region of the vehicle; and a processing device that is mounted in the vehicle, and executes processing related to a function of controlling the vehicle on the basis of the image. The imaging device includes: a first control line, a first voltage generator that applies a first voltage to the first control line, a first signal line, a plurality of pixels that applies a pixel voltage to the first signal line, a first dummy pixel that applies a voltage corresponding to the first voltage of the first control line to the first signal line in a first period, a converter including a first converter that performs AD conversion on the basis of a voltage of the first signal line in the first period to generate a first digital code, and a diagnosis section that performs diagnosis processing on the basis of the first digital code. The above-described processing device restricts the function of controlling the vehicle on the basis of a result of the diagnosis processing.

It is an object to realize a correcting process for correcting a defective image in a region of interest (ROI) that is a partial region segmented from a captured image. A transmitting apparatus includes a controlling section that controls the holding of defect correcting information for use in correcting a defect in an image included in a ROI and a transmitting section that sends out image data of the image included in the ROI as payload data and sends out ROI information as embedded data.

It is an object to realize a correcting process for correcting a defective image in a region of interest (ROI) that is a partial region segmented from a captured image. A transmitting apparatus includes a controlling section that controls the holding of defect correcting information for use in correcting a defect in an image included in a ROI and a transmitting section that sends out image data of the image included in the ROI as payload data and sends out ROI information as embedded data.

An integrity monitoring system for a first image sensor includes an electronic processor configured to receive sensor data for the provision of image data associated with an environment of the avionic sensor. The electronic processor is configured to monitor the avionic sensor for integrity. The electronic processor is configured to perform at least one of: determining a presence of an optical feature associated with optics of the first image sensor, comparing overlap information derived from the sensor data and other sensor data, comparing characteristics of a digital output stream of the sensor data to expected characteristics, or comparing a first motion derived from the image data and a second motion derived from avionic position equipment.

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.