An image processing method that generates high-resolution image data from low-resolution image data and an image receiving apparatus that is operated by the image processing method are provided. In the image processing method that generates high-resolution image data from low-resolution image data, the low-resolution image data is divided to generate a plurality of first image data, among the plurality of first image data, one of two adjacent image data is second image data, and the other is third image data. Surroundings of the second image data are supplemented with pixel data to generate fourth image data. The pixel data includes part of the third image data. A convolutional neural network using the fourth image data as an input is implemented, fifth image data is output from the convolutional neural network, and a plurality of the fifth image data is combined to generate high-resolution image data. The image receiving apparatus is operated by the image processing method.

Video conversion technology, in which a first stream of video content is accessed and multiple, different layers are extracted from the first stream of the video content. Each of the multiple, different layers are separately processed to convert the multiple, different layers into modified layers that each have a higher resolution. The modified layers are reassembled into a second stream of the video content that has a higher resolution than the first stream of the video content.

Even when a watching position or a watching direction of a viewer for a video changes, video display with favorable visibility is obtained. A video display apparatus that receives an input of a video input signal and that displays a video based on the video input signal includes a viewer detection unit that detects a positional relation between a screen on which the video is displayed and a viewer who watches the video and that generates viewer position information including the detection result, an image processing unit that executes image correction processing for a correction region which is such a partial region of an image based on the video input signal as being set in correspondence with viewer position information, and a video display unit that displays, on the screen, a video based on a corrected video signal having been subjected to the image correction processing.

Methods and apparatuses for data pruning for video compression using example-based super resolution are provided. A method and apparatus for encoding is provided in which patches of video are extracted from input video, grouped together using a clustering method, and representative patches are packed into patch frames. The original video is downsized and sent either along with, or in addition to, the patch frames. At a decoder, the method and apparatus provided extract patches from the patch frames and create a patch library. The regular video frames are upsized and the low resolution patches are replaced by patches from the patch library by searching the library using the patches in the decoded regular frames as keywords. If there are no appropriate patches, no replacement is made. A post processing procedure is used to enhance the spatiotemporal smoothness of the recovered video.

Aspects relate to transmission of metadata from a source to a sink device, and optionally through one or more intermediaries. A source device encodes metadata into what would have been a blanking area of a field to be transmitted, according to a current video format. The source device encodes a timing for an active video data signal that is modified from a timing that would be used only for transmission of video data at a current resolution. A separate indicator from the source, or a negotiation between source and sink allows the sink to determine what part of the data indicated as being active video data is metadata, and to use that metadata for controlling aspects of the video display, and to use other parts of the received video data as video data for display. A sink can signal supported capabilities to a source.

In order to solve the problems described above, the present invention employs a PSF restoring means and an image restoring means, implemented in software or hardware, for executing a plurality of iterations of real-number-based computations based on Bayse probability theory by using, as input information, a PSF luminance distribution identified according to a degree of degradation of TV video, a luminance distribution of a degraded image constituted of Y (luminance) components of the TV video, and an estimated luminance distribution of restored-image initial values. With these means, an estimated luminance distribution of a restored image having a maximum likelihood for the luminance distribution of the degraded image is obtained, and the estimated luminance distribution is substituted for the Y components of the TV video obtained by extracting the luminance distribution of the degraded image. Accordingly, TV video that approximates the pre-degradation state is provided substantially in real time.

Even when mixing video data whose video formats are different, appropriate mix processing can be performed. Output video data is obtained by performing mix processing such as dissolve and wipe on first video data and second video data. Before performing the mix processing, a format of the first video data and the second video data is made the same as a video format handled by the mixing unit. Further, after performing the mix processing, a format of the output video data is made the same as an output video format.

A conversion method for converting luminance of a video, including a luminance value in a first luminance range, to be displayed on a display apparatus includes: acquiring a first luminance signal indicating a code value obtained by quantization of the luminance value of the video; and converting the code value indicated by the acquired first luminance signal into a second luminance value determined based on a luminance range of the display apparatus, the second luminance value being compatible with a second luminance range with a maximum value smaller than a maximum value of the first luminance range and larger than 100 nit. This provides the conversion method capable of achieving further improvement.

The present invention discloses a signal enhancement relay apparatus is provided. A display data channel stretching circuit includes a direct and an indirect channels. A snooper circuit is disposed at the direct channel. The indirect channel includes a master and a slave paths having a master and a slave transmission circuits disposed thereon. The direct channel is selected under a default passive mode such that a snooper link bridging handler circuit is enabled to monitor a display data transmission on the direct path through the snooper circuit, to perform a channel link bridging process corresponding to a data enhancement transmission channel accordingly. When the channel link bridging process under the passive mode fails, the indirect channel is selected under an active mode such that a intervening link bridging handler circuit t is enabled to access the display data transmission on the master and the slave paths respectively through the master and the slave transmission circuits, to perform the channel link bridging process respectively.

A method is described for converting an input image into an output image, the output image including an output luminance component made of elements. The method includes: obtaining an input luminance component from the input image; determining the output luminance component, the respective ranges of the output luminance component element values and input luminance component element values being of different range extension, the determining step including: —determining a first intermediate luminance component from the input luminance component and an exponent, —obtaining a mapping profile allowing for mapping a luminance component based on the input luminance component into the output luminance component, —determining a second intermediate luminance component from the input luminance component and the obtained mapping profile, —determining the output luminance component from the first and second intermediate luminance components; and converting the input image into the output image.