conversion from 4:4:4 to 4:2:2) Matlab Image Processing Toolbox function imresize is used. For sequence rescaling and when rescaling chromas (e.g. It outputs YV12 using standard test sequence files but perhaps you can use it as a starting point.For YUV sequences comparison the Quality Assessment toolbox is required. There's an open source YUV source filter you can have a look at our sourceforge site (See my signature). In the end you'll have a media pipeline that typically looks something like this YUV Source -> YUV to RGB converter -> video renderer or YUV Source -> video renderer If you are unfamiliar with DirectShow I suggest you read up on the DirectShow framework on MSDN. I don't know about DirectDraw so I don't know if there's an easier way to do it. If you've setup your media types correctly, DirectShow will create a media pipeline by either converting the YUV to RGB or rendering the YUV directly. Then you would "render" the graph and should be able to see your video. There also a YUV conversion filter available at Īssuming that you've got access to the raw YUV data, one option would be to create a DirectShow YUV source filter. It outputs YV12 using standard test sequence files but perhaps you can use it as a starting point. In this letter, we look into the weakness. U and V are then typically subsampled by a factor of four and the resulting video data in the 4:2:0 format become the input for the video encoder. the full resolution RGB video frames are converted into YUV color space. I don't know about DirectDraw so I don't know if there's an easier way to do it. Compression of Bayer-Pattern Video Sequences Using Adjusted Chroma Subsampling. Assuming that you've got access to the raw YUV data, one option would be to create a DirectShow YUV source filter.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. Archives
February 2023
Categories |