![]() ![]() Based on this analysis, the software can predict missing pixels and fill them in, resulting in a higher-resolution output. The software then compares each frame to thousands of similar frames from a vast database of high-quality videos. However, these techniques often resulted in blurry or distorted images, making the upscaled videos look unnatural.ĪI video upscaling, however, leverages complex algorithms and machine learning techniques to analyze low-resolution videos. Traditional Upscaling MethodTraditionally, upscaling was done using simple methods like pixel duplication or bicubic interpolation. That is where video upscaling technology comes to the rescue. ![]() However, due to the limitation of recording equipment, ambient environment, and a variety of other factors, some videos are of low quality and suffer from a lack of detail, pixelation, and overall poor visual quality, making them less enjoyable to watch. Part 1: Why Video Upscaling is NecessaryNowadays, videos have become an indispensable part of our digital lives.
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