An image processing method and apparatus, and a non-transitory computer-readable storage medium are provided. The method includes: acquiring an exposure duration and at least one motion component corresponding to at least one direction within the exposure duration of a current video frame; performing a first noise reduction operation on the current video frame in a two-dimensional space domain in response to a first motion component of the at least one motion component being greater than a preset motion component threshold; and performing a second noise reduction operation on the current video frame in a three-dimensional space domain in response to the at least one motion component being less than the preset motion component threshold.

An image processing method includes obtaining a to-be-processed image, performing an image processing operation on the to-be-processed image by inputting the to-be-processed image into a corresponding image processing model to obtain a processed image, and obtaining an output image according to the processed image of the corresponding image processing model. The image processing operation includes at least one of color deviation removal processing or ghost effect removal processing. The image processing model corresponding to the color deviation removal processing is a first image processing model, and the image processing model corresponding to the ghost effect removal processing is a second image processing model.

In an example embodiment a method, apparatus and computer program product are provided. The method includes determining presence of at least one moving object in a scene based on two or more burst images corresponding to the scene captured by a first camera. One or more portions of the scene associated with the at least one moving object are identified, and, information related to the one or more portions is provided to a second camera. An image of the scene captured by the second camera second camera is received, where a pixel level shutter disposed in front of an image sensor of the second camera is programmed to periodically open and close, throughout a duration of said image capture, for pixels of the image sensor corresponding to the one or more portions of the scene. A deblurred image corresponding to the scene is generated based on the image.

A method and system for ghost detection in an image are described. Initially, a mode for detecting ghosting artifact is determined for deciding whether to perform analog or inter field ghosting analysis on the image. Based on the determined mode, a plurality of fields is determined to generate a field overlay image. The image is updated based on the field overlay image and an inter-field average of absolute difference is computed. A significant edge image, a principal edge image, and a delta gradient image are generated. A confidence score indicative of a likelihood of ghosting artifact in the image, is computed based on at least the inter-field average of absolute difference, a first and a second count of pixels in the delta gradient image, a third count of pixels in the principal edge image, and a count of rows of the significant edge image that correspond to the ghosting artifact.

An image processing method and device is provided. The method includes: performing brightness adjustment on each frame of image in a video; performing offset compensation on each frame of image after the brightness adjustment; and performing time domain filtering on each frame of image after the offset compensation.

Disclosed are a disturbance light identifying apparatus, a disturbance light separating apparatus, a disturbance light identifying method, and a disturbance light separating method capable of precisely identifying whether or not light exiting an optical system contains a disturbance light component or capable of separating such a disturbance light component by using a simple technique. Provided are: a modulated light irradiation unit that irradiates an optical system 1 with modulated light; a light receiving unit that receives light exiting the optical system 1 in response to an incidence of the modulated light from the modulated light irradiation unit; and a controlling unit that controls the modulated light irradiation unit and the light receiving unit.

The present disclosure relates to systems and methods for transmitting data in a video signal. The systems may perform the methods to generate a data frame, wherein the data frame may include at least a frame header and frame data, the frame header may include at least one autocorrelation and cross-correlation sequence; insert the data frame into an area of a video signal, wherein the inserted area of the video signal is not an area of line and field synchronization or an area of effective video; transmit the video signal having the data frame to another device.

An image processing device including a memory; and at least one image signal processor configured to: generate, using a first neural network, a feature value indicating whether to correct a global pixel value sensed during a unit frame interval, and generate a feature signal including the feature value; generate an image signal by merging the global pixel value with the feature signal; split a pixel value included in the image signal into a first sub-pixel value and a second sub-pixel value, split a frame feature signal included in the image signal into a first sub-feature value corresponding to the first sub-pixel value and a second sub-feature value corresponding to the second sub-pixel value, and generate a first sub-image signal including the first sub-pixel value and the first sub-feature value, and a second sub-image signal including the second sub-pixel value and the second sub-feature value; and sequentially correct the first sub-image signal and the second sub-image signal using a second neural network.

An image processing device including a memory; and at least one image signal processor configured to: generate, using a first neural network, a feature value indicating whether to correct a global pixel value sensed during a unit frame interval, and generate a feature signal including the feature value; generate an image signal by merging the global pixel value with the feature signal; split a pixel value included in the image signal into a first sub-pixel value and a second sub-pixel value, split a frame feature signal included in the image signal into a first sub-feature value corresponding to the first sub-pixel value and a second sub-feature value corresponding to the second sub-pixel value, and generate a first sub-image signal including the first sub-pixel value and the first sub-feature value, and a second sub-image signal including the second sub-pixel value and the second sub-feature value; and sequentially correct the first sub-image signal and the second sub-image signal using a second neural network

A receiver applies a calibration method to compensate for skew between input channels. The receiver skew is estimated by observing the coefficients of an adaptive equalizer which adjusts the coefficients based on time-varying properties of the multi-channel input signal. The receiver skew is compensated by programming the phase of the sampling clocks for the different channels. Furthermore, during real-time operation of the receiver, channel diagnostics is performed to automatically estimate differential group delay and/or other channel characteristics based on the equalizer coefficients using a frequency averaging or polarization averaging approach. Framer information can furthermore be utilized to estimate differential group delay that is an integer multiple of the symbol rate. Additionally, a DSP reset may be performed when substantial signal degradation is detected based on the channel diagnostics information.