The imaging apparatus includes: a processor; and an imaging element that has column signal lines, which are for reading out signals and extend in a first direction, and that has a first pixel group and a second pixel group arranged in the first direction, the first pixel group including phase difference pixels and imaging pixels arranged in a second direction intersecting the first direction and the second pixel group including imaging pixels arranged in the second direction. The processor is configured to set one of a first exposure time, during which the first pixel group is exposed, and a second exposure time, during which the second pixel group is exposed, shorter than the other, and determine which of the first exposure time and the second exposure time is made shorter than the other on the basis of information of a subject image.

The imaging apparatus includes: a processor; and an imaging element that has column signal lines, which are for reading out signals and extend in a first direction, and that has a first pixel group and a second pixel group arranged in the first direction, the first pixel group including phase difference pixels and imaging pixels arranged in a second direction intersecting the first direction and the second pixel group including imaging pixels arranged in the second direction. The processor is configured to set one of a first exposure time, during which the first pixel group is exposed, and a second exposure time, during which the second pixel group is exposed, shorter than the other, and determine which of the first exposure time and the second exposure time is made shorter than the other on the basis of information of a subject image.

Provided are a video conversion method, an electronic device and a non-transitory computer readable storage medium. The implementation scheme is as follows: a to-be-converted SDR video is acquired; one frame is extracted from the to-be-converted SDR video to serve as a current SDR image, the current SDR image is input into a parameter predictor and a generator, and an adjustment parameter corresponding to the current SDR image is output from the parameter predictor; the adjustment parameter corresponding to the current SDR image is input into the generator, and an HDR image corresponding to the current SDR image is output from the generator; and the operation described above is repeatedly performed until frames are converted into HDR images each of which corresponds to a respective frame of the frames; and a corresponding HDR video is generated based on the HDR images corresponding to the frames.

Provided are a video conversion method, an electronic device and a non-transitory computer readable storage medium. The implementation scheme is as follows: a to-be-converted SDR video is acquired; one frame is extracted from the to-be-converted SDR video to serve as a current SDR image, the current SDR image is input into a parameter predictor and a generator, and an adjustment parameter corresponding to the current SDR image is output from the parameter predictor; the adjustment parameter corresponding to the current SDR image is input into the generator, and an HDR image corresponding to the current SDR image is output from the generator; and the operation described above is repeatedly performed until frames are converted into HDR images each of which corresponds to a respective frame of the frames; and a corresponding HDR video is generated based on the HDR images corresponding to the frames.

Devices, methods, and computer-readable media are disclosed describing an adaptive approach for image bracket selection and fusion, e.g., to generate low noise and high dynamic range (HDR) images in a wide variety of capturing conditions. An incoming image stream may be obtained from an image capture device, wherein the incoming image stream comprises a variety of differently-exposed captures, e.g., EV0 images, EV− images, EV+ images, long exposure (or synthetic long exposure) images, EV0/EV− image pairs, etc., which are received according to a particular pattern. When a capture request is received, a set of rules and/or a decision tree may be used to evaluate one or more capture conditions associated with the images from the incoming image stream and determine which two or more images to select for a fusion operation. A noise reduction process may optionally be performed on the selected images before (or after) the registration and fusion operations.

An electronic device and method are provided. The electronic device includes a camera, a communication circuit, and a processor configured to be operably coupled to the camera and the communication circuit. The processor is further configured to receive first image data from the camera by controlling the camera based on a first parameter, transmit the first image data to an external electronic device by using the communication circuit in response to acquisition of the first image data, identify a second parameter for controlling the camera at least based on the external electronic device having received the first image data, and acquire second image data by controlling the camera based on the second parameter in response to the identification of the second parameter.

A display system for a welding helmet that includes a darkening filter layer, a high-dynamic range (HDR) camera system to capture an HDR light field, and an optical image stabilization subsystem. Captured images are displayed on an HDR electronic display within the welding helmet without risk of overexposure of ultraviolet radiation to the operator. In some examples, dual electronic displays are used to display different HDR images to each eye of the operator.

A display system for a welding helmet that includes a darkening filter layer, a high-dynamic range (HDR) camera system to capture an HDR light field, and an optical image stabilization subsystem. Captured images are displayed on an HDR electronic display within the welding helmet without risk of overexposure of ultraviolet radiation to the operator. In some examples, dual electronic displays are used to display different HDR images to each eye of the operator.

A digital graduated filter is implemented in an imaging device by combining multiple images of the subject wherein the combining may include combining different numbers of images for highlights and for shadows of the subject. The imaging device may present a user with a set of pre-defined graduated filter configurations to choose from. A user may also specify the direction of graduation and strength of graduation in a viewfinder. In an alternative implementation, combining may include scaling of pixels being added instead of varying the number of images being combined. In an alternative implementation, the combining of multiple images may include combining a different number of images for highlights of the subject than for shadows of subject.

A digital graduated filter is implemented in an imaging device by combining multiple images of the subject wherein the combining may include combining different numbers of images for highlights and for shadows of the subject. The imaging device may present a user with a set of pre-defined graduated filter configurations to choose from. A user may also specify the direction of graduation and strength of graduation in a viewfinder. In an alternative implementation, combining may include scaling of pixels being added instead of varying the number of images being combined. In an alternative implementation, the combining of multiple images may include combining a different number of images for highlights of the subject than for shadows of subject.