![]() ![]() ![]() NVIDIA has been training its deep learning network on a wide range of content with various compression levels, with the deep learning network learning about types of compression artifacts that are in low-resolution or low-quality videos that aren't there in uncompressed images, as a reference for network training. The residual image is then superimposed on top of a traditional upscaled image, correcting the artifact errors and sharpening edges to match the output resolution. The network itself analyses the lower-resolution video frame, predicting the residual image at the target resolution. NVIDIA RTX VSR technology taps the world of deep learning networks that perform the actual upscaling and compression artifact reduction. Yeah! It actually ADDS detail to the videos you stream through your browser. This includes blockiness, ringing artifacts around edges, washout of high-frequency details, and banding on flat areas, all the while reducing lost textures. Streamed video + blocky compression artifacts have become the norm over the years, but now RTX VSR is here it'll reduce or completely eliminate artifacts caused by compressing video. NVIDIA's new RTX VSR is a breakthrough in AI pixel processing that the company says improves the quality of streamed video content beyond edge detection and feature sharpening.
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