| CPC H04N 23/745 (2023.01) [G03B 5/00 (2013.01); G06N 20/00 (2019.01); H04N 25/531 (2023.01)] | 19 Claims |
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1. An imaging apparatus comprising:
an imaging element configured to convert light into an electrical signal;
an imaging driver configured to drive the imaging element;
a signal processor configured to process the electrical signal and output a video signal for a screen;
a controller configured to integrate the video signal in a first direction of the screen, acquire an integral value of the video signal for each line in the first direction, and detect a flicker in an image captured by the imaging apparatus by determining a difference between integral values in adjacent lines; and
a memory configured to, in response to the flicker being detected, store data on a characteristic of the flicker, a first frame rate, and a first shutter speed of the imaging element,
wherein the controller is configured to control the imaging element driver to perform imaging at a second frame rate different from the first frame rate using a pre-learned deep learning/machine learning model, and
wherein the deep learning/machine learning model is a model learned utilizing a flicker characteristic at a frame rate of the imaging element to determine a second frame rate at which the flicker is reduced.
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