A method for image capture includes identifying a bright spot in an image. A neural network is used to recover details in bright spot area through a trained de-noising process. Post-processing of the image is conducted to match image parameters of recovered details in the bright spot area to another area of the image.

Speckle removal in a pulsed fluorescence imaging system is described. A system includes a coherent light source for emitting pulses of coherent light, a fiber optic bundle connected to the coherent light source, and a vibrating mechanism attached to the fiber optic bundle. The system includes and an image sensor comprising a pixel array for sensing reflected electromagnetic radiation. The system is such that at least a portion of the pulses of coherent light emitted by the coherent light source comprises electromagnetic radiation having a wavelength from about 770 nm to about 790 nm.

An imaging apparatus to which an accessory apparatus is attachable includes a camera controller configured to communicate with the accessory apparatus. The camera controller receives first information on a data size receivable by the accessory apparatus, performs a setting for a data size to be transmitted to the accessory apparatus based on the first information, and communicate with the accessory apparatus based on the setting.

This information processing apparatus includes an image processing unit that detects a position of a light source in image data captured by an imaging apparatus and estimates an unnecessary light generation position in the image data on the basis of the detected position of the light source. The image processing unit detects, with respect to a plurality of pieces of image data respectively captured by a plurality of imaging apparatuses having partially common fields of view, positions of light sources and estimates unnecessary light generation positions on the basis of the detected positions of the light sources and combines pieces of image data of common field-of-view portions respectively captured by the plurality of imaging apparatuses and generates image data of the unnecessary light generation position with unnecessary light removed or reduced.

An imaging device is presented for use in an imaging system capable of improving the image quality. The imaging device has one or more optical systems defining an effective aperture of the imaging device. The imaging device comprises a lens system having an algebraic representation matrix of a diagonalized form defining a first Condition Number, and a phase encoder utility adapted to effect a second Condition Number of an algebraic representation matrix of the imaging device, smaller than said first Condition Number of the lens system.

An imaging device is presented for use in an imaging system capable of improving the image quality. The imaging device has one or more optical systems defining an effective aperture of the imaging device. The imaging device comprises a lens system having an algebraic representation matrix of a diagonalized form defining a first Condition Number, and a phase encoder utility adapted to effect a second Condition Number of an algebraic representation matrix of the imaging device, smaller than said first Condition Number of the lens system.

This application discloses an image processing method and apparatus, and relates to the field of image processing technologies, to help optimize a color, a contrast, or a dynamic range of an image, so that an optimized image can be more objective, and robustness is improved. The method is applied to a terminal including a first camera and a second camera. The method includes: when an ISO of the first camera in a current photographing environment is greater than a first threshold, capturing a first image for a first scenario in the current photographing environment; capturing a second image for the first scenario; and optimizing the first image based on the second image to obtain a third image. An image style of the second image is better than that of the first image.

There is provided an information processing apparatus including a processor and a memory connected to or built into the processor. The processor is configured to process a captured image by using an AI method that uses a neural network and perform composition processing of combining a first image obtained by processing the captured image by using the AI method and a second image obtained by processing the captured image without using the AI method.

An electronic apparatus includes: an image sensor for acquiring an image including normal pixel values that are sensed during a first exposure time and short exposure pixel values that are sensed during a second exposure time that is shorter than the first exposure time; and a processor configured to acquire flag information that indicates that a selected region, among a plurality of regions of the image, is one of a motion region and a normal region by using an exposure ratio of the first exposure time and the second exposure time and by using a short exposure pixel value and normal pixel values, which are included in the selected region, and configured to output a restoration image including a restoration pixel value that is corrected from the short exposure pixel value that is included in the selected region, based on the flag information.

Systems and processes for cameras with a reconfigurable lens assembly are described. For example, some methods include automatically detecting that an accessory lens structure has been mounted to an image capture device including a mother lens and an image sensor configured to detect light incident through the mother lens, such that an accessory lens of the accessory lens structure is positioned covering the mother lens; responsive to detecting that the accessory lens structure has been mounted, automatically identifying the accessory lens from among a set of multiple supported accessory lenses; accessing an image captured using the image sensor when the accessory lens structure is positioned covering the mother lens; determining a warp mapping based on identification of the accessory lens; applying the warp mapping to the image to obtain a warped image; and transmitting, storing, or displaying an output image based on the warped image.