Provided is an information processing apparatus including an acquisition unit that acquires a second image obtained by photographing a color sample by a second camera device and by developing, and an estimation unit that estimates a second 3D-LUT for reproducing, by the first camera device, a color of the color sample in the second image by inputting the second image to a model that has learned a first image obtained by photographing the color sample under a standard light source by a first camera device and by developing as input data and a first 3D lookup table (3D-LUT) used for developing the first image as correct answer data. As a result, the 3D-LUT can be generated more easily.

Techniques for image processing including receiving input image data, wherein the input image data includes data associated with a clear color channel, receiving a color offset value associated with a color channel, wherein color values for the color channel are not provided in the input image data, based on the color offset value, generating intermediate estimated color values for the color channel, wherein generating the intermediate estimated color values includes: clipping color values that have a magnitude greater than the color offset value, and adjusting color values that have a magnitude less than the color offset value based on the color offset value, applying a color correction function to the intermediate estimated color values based on the color offset value to determine color corrected estimated color values, and outputting the color corrected estimated color values.

An image enhancement method, comprising: obtaining a reference image frame from of a scene, by a frame-based sensor, wherein the reference image contains artifacts and has an exposure duration; obtaining a stream of events, by an event-based sensor which is synchronized with the frame-based sensor, at least during the exposure duration, wherein the events encode brightness changes of the scene corresponding to the reference image; and deriving a corrected image frame without the artifacts from the reference image frame using the stream of events.

An image enhancement method, comprising: obtaining a reference image frame from of a scene, by a frame-based sensor, wherein the reference image contains artifacts and has an exposure duration; obtaining a stream of events, by an event-based sensor which is synchronized with the frame-based sensor, at least during the exposure duration, wherein the events encode brightness changes of the scene corresponding to the reference image; and deriving a corrected image frame without the artifacts from the reference image frame using the stream of events.

A device and a method for generating an output image in which a subject has been captured are provided. A method of performing image processing may include: obtaining a raw image by a camera sensor of the device, by using a first processor configured to control the device; inputting the raw image to a first artificial intelligence (AI) model trained to scale image brightness, by using a second processor configured to perform AI-based image processing on the raw image; obtaining tone map data output from the first AI model, by using the second processor; and storing an output image generated based on the tone map data.

This application discloses an image processing method and a related apparatus, to support display of an HDR image, display more dynamic ranges and image details, provide richer colors, and improve user experience. The image processing method includes: obtaining a first RGB image, where the first RGB image is an RGB image sensed by a photographing apparatus; converting the first RGB image into a second RGB image, where the second RGB image is an image meeting a BT2020 color gamut range; determining a first luminance value corresponding to the second RGB image, where the first luminance value indicates maximum luminance of each frame of image in the second RGB image; determining a target image based on the first luminance value and the second RGB image; and sending the target image to a display apparatus, so that the display apparatus displays the target image.

An image capturing apparatus includes an image sensor section and a signal processor for processing an image input from the image sensor section via a signal line. A control arithmetic unit switches the image sensor section to a recognition mode or a learning mode. The image sensor section includes an image capturing section for generating an image, and a sensor recognition section for performing, in the recognition mode, recognition processing by inputting the image to a first learning model. The signal processor includes a recognition section for performing recognition processing by inputting the image to a second learning model. The image sensor section further includes a sensor learning section for updating, in the learning mode, the first learning model, based on a recognition result obtained by the second recognition unit and input from the signal processor, and an image generated by the image capturing unit.

An image capturing apparatus includes an image sensor section and a signal processor for processing an image input from the image sensor section via a signal line. A control arithmetic unit switches the image sensor section to a recognition mode or a learning mode. The image sensor section includes an image capturing section for generating an image, and a sensor recognition section for performing, in the recognition mode, recognition processing by inputting the image to a first learning model. The signal processor includes a recognition section for performing recognition processing by inputting the image to a second learning model. The image sensor section further includes a sensor learning section for updating, in the learning mode, the first learning model, based on a recognition result obtained by the second recognition unit and input from the signal processor, and an image generated by the image capturing unit.

There are provided an information processing system, an information processing apparatus, an information processing method, an information processing program, an imaging apparatus, a method of controlling the imaging apparatus, and a control program capable of easily performing color matching in a plurality of imaging apparatuses. The information processing system includes: an imaging apparatus that operates in a master mode; at least one imaging apparatus that operates in a slave mode; and an information processing apparatus. Each of the imaging apparatus in the master mode and the imaging apparatus in the slave mode sends a chart image generated by capturing an image of a specific chart to the information processing apparatus, and the information processing apparatus calculates a color conversion coefficient in the imaging apparatus in the slave mode on the basis of the chart image generated by the imaging apparatus in the master mode, and sends the color conversion coefficient to the imaging apparatus corresponding to the color conversion coefficient.

The present disclosure provides methods and systems for image correction. The method may include obtaining a first frame captured by an image acquisition device, a second frame captured by the image acquisition device prior to the first frame, and a correction coefficient of the first frame; determining, based on the first frame and the second frame, whether a gamma curve of the image acquisition device has been adjusted; in response to determining that the gamma curve of the image acquisition device has been adjusted, determining an adjustment coefficient of the correction coefficient based on the first frame and the second frame; and adjusting, based on the adjustment coefficient, the correction coefficient of the first frame.