Devices, methods, and computer-readable media are disclosed, describing an adaptive, subject-aware approach for image bracket selection and fusion, e.g., to generate high quality images in a wide variety of capturing conditions, including low light conditions. An incoming image stream may be obtained from an image capture device, comprising images captured using differing default exposure values, e.g., according to a predetermined pattern. When a capture request is received, it may be detected whether one or more human or animal subjects are present in the incoming image stream. If a subject is detected, an exposure time of one or more images selected from the incoming image stream may be reduced relative to its default exposure time. Prior to the fusion operation, one of the selected images may be designated a reference image for the fusion operation based, at least in part, on a sharpness score and/or a blink score of the image.

A method and a circuitry for exposure compensation applied to a high dynamic range video are provided. The circuitry is adapted to an image-acquisition device. In the method, when a video is received, the pixel values for each of the sequential frames can be obtained. Next, an exposure value ratio between two adjacent frames is obtained. A processor exposure value ratio of an image signal processor can be regarded as an initial exposure value ratio. A fixed adjustment ratio is used to control the image signal processor and an image sensor of the image-acquirement device so as to calculate an exposure value ratio for each of the frames. The exposure value ratio is referred to for performing the high dynamic range compensation for the frames so as to output an HDR video.

A method and a circuitry for exposure compensation applied to a high dynamic range video are provided. The circuitry is adapted to an image-acquisition device. In the method, when a video is received, the pixel values for each of the sequential frames can be obtained. Next, an exposure value ratio between two adjacent frames is obtained. A processor exposure value ratio of an image signal processor can be regarded as an initial exposure value ratio. A fixed adjustment ratio is used to control the image signal processor and an image sensor of the image-acquirement device so as to calculate an exposure value ratio for each of the frames. The exposure value ratio is referred to for performing the high dynamic range compensation for the frames so as to output an HDR video.

An endoscopic camera device having an optical assembly; a first image sensor in optical communication with the optical assembly, the first image sensor receiving a first exposure and transmitting a first low dynamic range image; a second image sensor in optical communication with the optical assembly, the second image sensor receiving a second exposure and transmitting a second low dynamic range image, the second exposure being higher than the first exposure; and a processor for receiving the first low dynamic range image and the second low dynamic range image; wherein the processor is configured to combine the first low dynamic range image and the second dynamic range image into a high dynamic range image using a luminosity value derived as a preselected percentage of a cumulative luminosity distribution of at least one of the first low dynamic range image and the second low dynamic range image.

An imaging device may include an image sensing device including a plurality of pixels to detect incident light from a scene to generate a pixel signal corresponding to the incident light and generate image data, wherein the image sensing device operates to perform imaging operation in response to a control signal, a luminance acquisition unit to acquire the image data corresponding to first pixels among the plurality of pixels associated with a target region of an image of the scene captured by the image sensing device, a controllable item acquisition unit to acquire one or more sensitivity items indicative of sensitivity of each pixel to light, as a controllable item, and a set value calculation unit to generate the control signal to the imagine sensing device by calculating a set value for the controllable item based on the image data of the target region and the controllable item.

A smart synchronizing method of a web inspection system for monitoring a moving web. A synchronizing device, at least one slave camera, and at least one lighting device illuminate an area of the web arranged to be imaged by the cameras. The method includes transmitting a synchronizing signal to the slave camera. The synchronizing signal includes at least a start pulse and serial data including additional information. All the cameras are synchronized with each other based on synchronization moment when integration of cameras end. A light synchronizing signal is transmitted to the at least one lighting device indicating a switching on and off times of the at least one lighting device, which switching off time corresponds to the synchronization moment, and calculating a starting time of integration based on an individual integration time of a camera and the synchronization moment common for cameras of the web inspection system.

This application provides a method and an apparatus for controlling a light compensation time of a camera module. An example method includes: determining a first target area in a first image shot by a camera before a current frame; determining a first exposure time period of a first target photosensitive chip row in the current frame based on the first target area; and indicating, based on the first exposure time period, an infrared light source to perform light compensation in response to at least that the photosensitive chip is exposed in the current frame.

This application provides a method and an apparatus for controlling a light compensation time of a camera module. An example method includes: determining a first target area in a first image shot by a camera before a current frame; determining a first exposure time period of a first target photosensitive chip row in the current frame based on the first target area; and indicating, based on the first exposure time period, an infrared light source to perform light compensation in response to at least that the photosensitive chip is exposed in the current frame.

Provided are a signal processing device, a signal processing method, a signal processing program, an imaging apparatus, and a lens apparatus capable of accurately calculating an amount of blurring on the basis of a signal which is output from a blurring detection sensor. The signal processing device processes a signal which is output from a blurring detection sensor in progress of exposure of an imaging element. The signal processing device includes a processor. The processor is configured to perform processing of generating a second signal obtained by performing high-pass filter processing on a first signal which is output from the blurring detection sensor; and processing of calculating an amount of blurring on the basis of the first signal or the second signal.

Provided are a signal processing device, a signal processing method, a signal processing program, an imaging apparatus, and a lens apparatus capable of accurately calculating an amount of blurring on the basis of a signal which is output from a blurring detection sensor. The signal processing device processes a signal which is output from a blurring detection sensor in progress of exposure of an imaging element. The signal processing device includes a processor. The processor is configured to perform processing of generating a second signal obtained by performing high-pass filter processing on a first signal which is output from the blurring detection sensor; and processing of calculating an amount of blurring on the basis of the first signal or the second signal.