A method for determining the likelihood that a pixel in a video image sequence represents true motion in the image. Light from a scene is captured to yield an original image having a sequence of frames. A prototype image is created from the original image as a geometrically accurate representation of the scene which is substantially free of contamination. A tilt variance-Gaussian mixture model and/or multi-variate Gaussian model, based upon optical turbulence statistics associated with the scene, is developed. Each pixel in the original image sequence of frames is evaluated against the prototype image using a probability density function, to yield a likelihood that the respective pixel represents true motion.

Apparatus and methods for the pre-processing of image data so as to enhance quality of subsequent encoding and rendering. In one embodiment, a capture device is disclosed that includes a processing apparatus and a non-transitory computer readable apparatus comprising a storage medium have one or more instructions stored thereon. The one or more instructions, when executed by the processing apparatus, are configured to: receive captured image data (such as that sourced from two or more separate image sensors) and pre-process the data to enable stabilization of the corresponding images prior to encoding. In some implementations, the pre-processing includes combination (e.g., stitching) of the captured image data associated with the two or more sensors to facilitates the stabilization. Advantageously, undesirable artifacts such as object “jitter” can be reduced or eliminated. Methods and non-transitory computer readable apparatus are also disclosed.

Various methods and systems are provided for image processing for multiple cameras. In one embodiment, a method comprises acquiring image frames with a plurality of image frame sources configured with different acquisition settings, processing the image frames based on the different acquisition settings to generate at least one final image frame, and outputting the at least one final image frame. In this way, information from different image frame sources such as cameras may be leveraged to achieve increased frame rates with improved image quality and a desired motion appearance.

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 blur correction device includes a processor and a memory that is built into or coupled to the processor. The processor is configured to acquire an amount of blur correction used to correct blurring of an image obtained by imaging of an imaging element during exposure for one frame in the imaging element, and correct the blurring by performing image processing based on a most recently acquired amount of blur correction, on an unfinished image that is the image less than one frame that is being read from the imaging element. In a case in which a first reading period does not overlap with a second reading period, the processor corrects the blurring by performing the image processing based on the amount of blur correction acquired during exposure between the first reading period and the second reading period, on the unfinished image of the subsequent frame.

A method, system, apparatus, and/or device for adjusting or removing frames in a set of frames. The method, system, apparatus, and/or device may include: associating a first frame of a set of frames with motion data that is captured approximately contemporaneously with the first frame; when a sampling rate of the motion data is greater than a frame rate of the set of frames, aggregating a first sample of the motion data captured at the first frame and a second sample of the motion data captured between the first frame and a second frame of the set of frames to obtain a movement value; when the movement value does not exceed a first threshold value, accepting the first frame from the set of frames; and when the movement value exceeds the first threshold value, rejecting the first frame from the set of frames.

A video image stabilization processing method and an electronic device are provided and related to the field of electronic technologies. The method includes: in a multi-view recording mode, cropping, by using a target object as a center, a video picture captured by a front-facing camera or a video picture with a large zoom ratio, to achieve picture stabilization; and compensating another video picture according to a motion feature of an electronic device, to achieve picture stabilization.

The disclosure relates to a method for the noise optimization of a camera, in particular a handheld thermal imaging camera. Images are captured by means of the camera in at least one method step; at least one movement characteristic variable is detected by means of at least one sensor unit of the camera in at least one method step; and image data of captured images is averaged by means of a computing unit of the camera in at least one method step. At least a number of images to be averaged are determined by means of the computing unit of the camera at least on the basis of an intensity of the detected movement characteristic variable, in particular a change rate, in at least one method step.

A processor for an endoscope includes: a determination unit that determines whether a start condition for starting acquisition of a moving image, which is limited to a predetermined time length and has a resolution equal to or higher than that of a still image captured by an endoscope, is satisfied; and a moving image acquisition unit that starts the acquisition of the moving image when the determination unit determines that the start condition is satisfied.

A blur correction device includes: a sensor; a mechanical blur correction device; an electronic blur correction circuit that corrects the blurring by performing image processing on an image obtained through imaging of the imaging apparatus, based on the amount of blurring and operation state information about an operation state of the optical element during exposure in the imaging apparatus; and a supplementary blur correction circuit that, in a case where the mechanical blur correction device and the electronic blur correction circuit are shared and operated at a predetermined ratio during the exposure, corrects the blurring by applying, to the image, a filter determined depending on the operation state information, the predetermined ratio, the amount of blurring, and an exposure period in the imaging apparatus.