A de-interlacing processing method, a de-interlacing processing device and a computer-readable storage medium are provided. The method includes acquiring image content characteristic information of a pixel point to be interpolated; and determining according to the image content characteristic information whether a de-interlacing algorithm based on motion adaptive or a de-interlacing algorithm based on motion compensation is adopted to perform de-interlacing processing.

A video image de-interlacing method is provided. The method-includes: acquiring a single frame of original video image; extracting odd field data and even field data in an original video image; performing N-1 times of down-sampling on the odd field data to obtain N-1 odd field data with different resolutions and performing N-1 times of down-sampling on the even field data to obtain N-1 even field data with different resolutions; combining odd field data and even field data with the same resolution to obtain a down-sampled image; and inputting the original video image and the down-sampled image to the de-interlacing network for de-interlacing.

A video image de-interlacing method is provided. The method-includes: acquiring a single frame of original video image; extracting odd field data and even field data in an original video image; performing N-1 times of down-sampling on the odd field data to obtain N-1 odd field data with different resolutions and performing N-1 times of down-sampling on the even field data to obtain N-1 even field data with different resolutions; combining odd field data and even field data with the same resolution to obtain a down-sampled image; and inputting the original video image and the down-sampled image to the de-interlacing network for de-interlacing.

An image processing device including: one or more processors comprising hardware, wherein the one or more processors are configured to: calculate an estimated movement amount of a subject in each image of a plurality of images; perform, based on the estimated movement amounts, one of: select and output an image that is most recently captured among the plurality of images; and select a reference image from the plurality of images based on the estimated movement amounts of the subject in the plurality of images; in response to selecting the reference image, determine a gain of the reference image; and perform, based on the gain, one of: select and output the reference image; and a synthesis process including: select a synthesis target image from the plurality of images; and generate and output a synthesized image by synthesizing the synthesis target image and the reference image.

In order to detect interlace errors in a video signal, one receives successive digitally coded frames, each frame comprising data for a field of a first type and data for a field of a second type (i.e. a top field and bottom field or vice versa). One then generates for each field of the first type:—a first difference signal (D1 F1) representative of the difference between the field and the second-type field of the previous frame;—a second difference signal (D1 F2) representative of the difference between the field and the second-type field of the same frame; and—a third difference signal (D1 F3) representative of the difference between the field and the second-type field of the following frame. Then, in dependence of the values of said difference signals, a decision signal (wOFlag) is generated indicating an estimated temporal relationship of the field to the second-type field of the same frame. This can be compared with a signal (IDFO) indicating a purported temporal relationship, and an alarm signal (wEFlag) generated in the event of a mismatch.

Technologies and implementations for de-interlacing an interlaced digital video and up-converting a frame rate of a digital video are generally disclosed.

Facilitating interaction may be enabled through communication protocols and/or APIs that permit information regarding image processing capabilities of associated graphics hardware to be exchanged between graphics device drivers and video renders. In a first exemplary media implementation, electronically-executable instructions thereof for a video renderer precipitate actions including: issuing a query from a video render towards a graphics device driver, the query requesting information relating to process amplifier (ProcAmp) capabilities; and receiving a response at the video renderer from the graphics device driver, the response including the requested information relating to ProcAmp capabilities. In a second exemplary media implementation, a graphics device driver precipitates actions including: receiving a query at the graphics device driver from a video renderer, the query requesting information relating to ProcAmp capabilities; and sending a response to the video renderer from the graphics device driver, the response including the requested information that relates to ProcAmp capabilities.

A discrete-type imaging device includes a camera head and a camera control unit, and video shot by the camera head is transmitted to the camera control unit via a plurality of transmission lines. A temperature sensor measures a temperature of the camera head. A high-temperature control unit determines whether the temperature measured exceeds a predetermined threshold value. A signal processing unit reduces a number of lines used in the plurality of transmission lines when the temperature measured exceeds the predetermined threshold value and transmits video data accordingly.

An image sequence includes consecutive video images each exhibiting at least one image region having a number of pixels, where each pixel includes at least one intensity value. For each image a motion measure value is determined indicative of temporal change of a video content of the image region and varying the intensity values of the pixels of the image region relative to the associated intensity values from video image to video image, a measure for the variation of the intensity values being dependent on the motion measure value determined and the change in the intensity values relative to the associated intensity values being greater the larger the motion represented by the motion measure value.

Provided is an image processing apparatus including a preprocessor configured to determine, based on an input image signal being input, a calculation range of calculation of detecting a direction of an edge in an image which the input image signal represents; and an edge direction detection unit configured to perform calculation within the calculation range determined based on the input image signal and detect the direction of the edge.