A method of generating a high dynamic range (HDR) image is provided that includes capturing a long exposure image and a short exposure image of a scene, computing a merging weight for each pixel location of the long exposure image based on a pixel value of the pixel location and a saturation threshold, and computing a pixel value for each pixel location of the HDR image as a weighted sum of corresponding pixel values in the long exposure image and the short exposure image, wherein a weight applied to a pixel value of the pixel location of the short exposure image and a weight applied to a pixel value of the pixel location in the pixel long exposure image are determined based on the merging weight computed for the pixel location and responsive to motion in a scene of the long exposure image and the short exposure image.

An image processing method, an electronic device and a storage medium. The method includes: under a preset condition, when detecting that an image currently captured by a camera module contains a human face, determining a reference photosensitivity corresponding to each frame of images to be captured according to a current jitter degree of the camera module; determining an exposure duration corresponding to each frame of images to be captured according to luminance of a current shooting scene, the reference photosensitivity corresponding to each frame of the images to be captured, and a preset mode of exposure compensation; capturing a plurality of frames of images in sequence according to the reference photosensitivity and the exposure duration corresponding to each frame of the images to be captured; and performing synthesis processing on the captured plurality of frames of images to generate a target image.

An image processing device includes: a measuring unit that measures a light quantity; an identification unit that identifies a region within an image-capturing range using the measured light quantity, the region having a light quantity higher than or equal to a predetermined light quantity; a setting unit that sets an image-capturing angle so that the identified region is out of the image-capturing range; and an image-capturing unit that captures an image for authentication at the image-capturing angle set by the setting unit.

An electronic camera comprising an image sensor configured to capture an electronic image and a shutter mechanism. The electronic camera further comprises a controller configured to control the shutter mechanism and the image sensor. The controller comprising a processor and a memory having computer-readable code embodied therein which, when executed by the processor, causes the controller to: open the shutter mechanism, allow light to reach the image sensor for an exposure, automatically cause the image sensor to capture a first digital image of a scene using a first capture setting and automatically cause the image sensor to capture a second digital image of the scene using a second capture setting. The first capture setting includes a first value and the second capture setting includes a second value respectively of at least one of an aperture parameter, a shutter speed parameter, an ISO sensor gain parameter.

There is provided a system for performing ambient light image correction. The system comprises a light source, a rolling shutter imaging unit configured to capture a plurality of images of the object at an exposure time shorter than the wave period of the pulsed illumination from the light source, and a control unit configured to generate a first composite image comprising a plurality of bright bands from the plurality of captured images by combining sections from the plurality of captured images which correspond to bright bands, generate a second composite image comprising a plurality of dark bands from the plurality of captured images by combining sections from the plurality of captured images which correspond to dark bands, and generate an ambient light corrected image based on a difference in pixel information between the first composite image and the second composite image.

An image pickup apparatus, a control method thereof, and a storage medium, the image pickup apparatus being capable of shooting a plurality of still images under an appropriate exposure condition when the image pickup apparatus including a camera system performs alignment composition of the still images shot in a time continuous manner. An exposure time for each of the still images and a total number of the still images are set based on the focal length information, the optical image blur correction angle information, and the response characteristic information.

A method for reducing overexposure or underexposure in a time-lapse includes acquiring, using an image capture device, a first frame of the time-lapse using a first exposure setting; and acquiring, using the image capture device, a second frame of the time-lapse. The first frame of the time-lapse is acquired under a first luminance condition. The second frame of the time-lapse is acquired under a second luminance condition that is different from the first luminance condition. The second frame of the time-lapse is acquired using an exposure setting that is determined based on respective exposure settings of one or more preview images obtained between the first frame of the time-lapse and the second frame of the time-lapse. The one or more preview images are not included in the time-lapse.

A method for image-processing and an electronic device are disclosed. The method includes: obtaining a RAW image packet comprising at least two RAW images, the at least two RAW images having different exposure durations; unpacking the RAW image packet and obtaining the at least two of RAW images; obtaining a High Dynamic Range (HDR) RAW image by performing an image synthesis operation on the at least two RAW images; and performing a previewing, photographing, or video-recording operation on the HDR RAW image.

A method includes obtaining, using at least one image sensor of an electronic device, a first image frame and multiple second image frames of a scene. Each of the second image frames has an exposure time different from an exposure time of the first image frame. The method also includes encoding, using at least one processor, each of the first image frame and the second image frames using a convolutional neural network to generate a corresponding feature map. The method further includes aligning, using the at least one processor, encoded features of the feature map corresponding to the first image frame with encoded features of the feature maps corresponding to the second image frames.

An image processing device (1) includes an exposure control unit (102), a Δ pose estimating unit (109), and an integration unit (111). The exposure control unit (102) controls exposure by sequentially performing positive correction of increasing exposure from proper exposure or negative correction of decreasing exposure from the proper exposure as the exposure at a time of acquiring each of a plurality of image frames in time series in a predetermined execution order. The Δ pose estimating unit (109) estimates first position pose of the image processing device based on matching between image frames subjected to the positive correction and second position pose of the image processing device based on matching between image frames subjected to the negative correction. The integration unit (111) integrates the first position pose and the second position pose.