An encoding device evaluates a plurality of processing and/or post-processing algorithms and/or methods to be applied to a video stream, and signals a selected method, algorithm, class or category of methods/algorithms either in an encoded bitstream or as side information related to the encoded bitstream. A decoding device or post-processor utilizes the signaled algorithm or selects an algorithm/method based on the signaled method or algorithm. The selection is based, for example, on availability of the algorithm/method at the decoder/post-processor and/or cost of implementation. The video stream may comprise, for example, downsampled multiplexed stereoscopic images and the selected algorithm may include any of upconversion and/or error correction techniques that contribute to a restoration of the downsampled images.

An encoding device evaluates a plurality of processing and/or post-processing algorithms and/or methods to be applied to a video stream, and signals a selected method, algorithm, class or category of methods/algorithms either in an encoded bitstream or as side information related to the encoded bitstream. A decoding device or post-processor utilizes the signaled algorithm or selects an algorithm/method based on the signaled method or algorithm. The selection is based, for example, on availability of the algorithm/method at the decoder/post-processor and/or cost of implementation. The video stream may comprise, for example, downsampled multiplexed stereoscopic images and the selected algorithm may include any of upconversion and/or error correction techniques that contribute to a restoration of the downsampled images.

The described technology is directed towards generating a new video image sequence (e.g., for playback at 30 frames per second) based on an existing video image sequence (e.g., originated for playback at 24 frames per second). The technology is based on processing frames, e.g., adjacent pairs of frames in a four-frame sequence, to obtain candidate frames for selecting a similar candidate frame to insert into the original sequence to create the new sequence (e.g., a five-frame sequence). Aspects include selecting a repeated frame to insert or creating a new frame from existing frames to insert, to generate the new sequence based on a difference/scoring comparison.

Blind legacy video artifact reduction reduces ghost artifacts and Y/C artifacts. Ghost artifacts are reduced using edge correlation and an IIR filter. Y/C artifacts are reduced using frequency domain filtering. The result is much cleaner video content.

Embodiments are disclosed for video image interpolation. In some embodiments, video image interpolation includes receiving a pair of input images from a digital video, determining, using a neural network, a plurality of spatially varying kernels each corresponding to a pixel of an output image, convolving a first set of spatially varying kernels with a first input image from the pair of input images and a second set of spatially varying kernels with a second input image from the pair of input images to generate filtered images, and generating the output image by performing kernel normalization on the filtered images.

A video processor is configured to perform the following steps: receiving a series of input frames; calculating a buffer stage value according to the series of input frames, wherein the buffer stage value corresponds to a status of the input frames stored in a frame buffer of the video processor; and selecting a frame set from the input frames stored in the frame buffer for generating an interpolated frame as an output frame to be output by the video processor according to the buffer stage value.

Provided are an image data output device, an image data output method, an image display device, and an integrated circuit that are possible to eliminate stutter by selecting a frame rate from a plurality of frame rate candidates. The image data output device that switches a frame rate of a generated image for each frame and outputs the image to an image display device includes an image generation unit that, on a basis of image generation time required to generate the image, changes the frame rate to one of a plurality of frame rates which are predetermined.

This application discloses a method and an apparatus for lifting video resolution, where an initial magnified signal obtained by performing upsampling on an original signal is decomposed into two parts, that is, a first signal and a second signal by means of forward wavelet transform, where the first signal and the original signal have the same volume, and high-frequency information in the original signal is preserved; then the first signal is enhanced, so that enhancement on the first signal is transferred to the second signal by performing inverse wavelet transform on the second signal and the enhanced first signal, to compensate high frequency loss in the second signal, that is, high-frequency information of an entire final magnified signal obtained through inverse wavelet transform is compensated relative to the initial magnified signal, so that a magnified image corresponding to the final magnified signal can better preserve high-frequency information of an original image, vagueness of the magnified image is reduced or even eliminated, and definition of an entire video is improved.

The present application provides a video frame interpolation method. The method includes the steps of: 1) successively determining a current frame, a frame prior to the current frame and a frame after the current frame of a video to which a frame to be interpolated; 2) inputting the current frame, the frame prior to the current frame and the frame after the current frame of the video to which the frames to be interpolated into a pre-configured video frame interpolation model, wherein the video frame interpolation model is configured by training a pre-set convolutional neural network model with current frames, frames prior to the current frames and frames after the current frames in a training set; and 3) performing frame interpolation on the video to which the frames to be interpolated via the video frame interpolation model, and obtaining frame interpolated video.

The present invention provides a detachable-head-type camera which, when a camera head unit is exchanged, can perform correction processing with a unique value corresponding to a camera head unit after the exchange, and provides a work machine including the detachable-head-type camera. Camera head unit of detachable-head-type camera is detachably connected to image data generation section via dedicated cable. In non-volatile memory of camera head unit, unique value corresponding to the characteristics unique to at least one of imaging element or lens is stored. Unique value is used for correction processing of image data performed by at least one of image data generation section or image processing unit.