An image processing apparatus and an image processing method thereof are provided. A shared storage unit of a motion estimation and motion compensation apparatus captures frame data of a storage unit through a bus. A motion vector estimation unit and a motion compensation unit capture image data for executing a motion vector estimation operation and a motion compensation operation from the sharing storage unit.

Embodiments of this application provide an image processing method and apparatus, an electronic device, and a storage medium. The method includes: acquiring a first sequence of images and motion vector data corresponding to each frame of image in the first sequence of images; generating, based on the motion vector data, the first sequence of images, and a slowdown multiple, an insertion image that correspondences to the slowdown multiple, a quantity of insertion images corresponding to the slowdown multiple; inserting the insertion image into a play sequence of the first sequence of images to obtain a second sequence of images; and playing the second sequence of images.

The present disclosure relates to a motion compensation method and module, a chip, an electronic device, and a storage medium, to improve the problem of haloes easily appearing on the edges of moving objects.

The present disclosure relates to a motion estimation method, a chip, an electronic device, and a storage medium. The present disclosure is beneficial to improving the accuracy of motion estimation.

A phase information generator generates phase information indicating a phase an interpolation-frame. An extracted pixel determination unit generates first and second motion vector crossing pixels at which the motion vector detected for generating an interpolation-pixel intersects with the first and second frames, and determines extracted pixels based on the motion vector crossing pixels. An interpolation-phase selector selects an interpolation phase based on the phase information and whether or not the first and second motion vector crossing pixels are out of an effective pixel range. An interpolation-pixel generator generates the interpolation-pixel based on the first and second extracted pixels and the interpolation phase.

In one implementation, a method of frame rate extrapolation is performed by a device including one or more processors, non-transitory memory, a scene camera, and a display. The method includes capturing, using the scene camera, an image of a scene. The method includes displaying, on the display, the image of the scene at a first time. The method includes generating an extrapolated image by transforming, using the one or more processors, the image of the scene based on movement of the device, wherein the extrapolated image includes a first area including a first plurality of pixels having respective first pixel values based on a single depth and a second area including a second plurality of pixels having respective second pixel values based on a plurality of depths. The method includes displaying, on the display, the extrapolated image at a second time after the first time.

A motion estimation technique finds first and second candidate bi-directional motion vectors for a first region of an interpolated frame of video content by performing double ended vector motion estimation on the first region. One of these candidate bi-directional motion vectors is selected, and used to identify a remote region of the interpolated frame. This remote region is located at an off-set location from the first region, and is found based on an endpoint of the selected candidate bi-directional motion vector. A remote motion vector for the remote region of the interpolated frame is obtained, and one or more properties of this remote motion vector are used to bias a selection between the first and second candidate vectors.

A video process is controlled through a one-dimensional control function to affect the two outcomes of processing time and processing error. Points are generated in error/time space corresponding to multiple combinations of parameter values applied to the process using reference input data. A subset of points is selecting in which each point is such that all other points in the space have either a higher error or a higher time, to define the one-dimensional control function.

In an on-screen display (OSD) image processing method for generating an interpolated frame with interpolated blocks, motion compensation is performed to generate motion compensation (MC) data according to a first motion vector referring to a previous frame and a second motion vector referring to a current frame. Zero-motion data are generated according to a zero-motion vector referring to the previous frame and the current frame. The MC data of a first weight and the zero-motion data of a second weight are blended to generate each interpolated block as a processed block. When the number of pixels having OSD data in the processed block is less than a first positive threshold and larger than a second positive threshold, the processed block is determined as an extended OSD block and the second weight of the extended OSD block is less than that of an OSD block.

An image processing method includes: receiving first and second frames; generating multiple motion vectors based on the first and second frames, wherein one of the motion vectors corresponds to a first block of the first frame and a second block of the second frame; calculating a to-be-compensated position of a compensated block, a first motion vector between the compensated block and the first block, and a second motion vector between the compensated block and the second block; determining whether a sum of the to-be-compensated position, a compensation value, and the first motion vector or the second motion vector exceeds a target range in order to set a blending coefficient; modifying first data of the first block or second data of the second block based on the blending coefficient; and generating interpolated data based on the modified first data or the modified second data.