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What are the best file compression techniques to reduce file size after 4K video upscaling?

Noise reduction is crucial in file compression after 4K upscaling, as it eliminates unwanted visual artifacts, allowing for efficient compression without significant quality loss.

Lossless compression techniques, like those provided by FFmpeg, can reduce file size without compromising video quality post-upscaling.

Handbrake is a popular tool for compressing 4K video files, making them more manageable after upscaling.

MiniTool Video Converter and VLC media player offer built-in features for upscaling and compressing 4K videos.

Codecs, like H.265 or HEVC, can reduce file sizes without compromising visual quality, given their efficient compression capabilities.

Reducing the frame rate can significantly decrease file size; however, it may impact the smoothness of fast-moving scenes.

Bitrate adjustment can effectively manage file sizes: lower bitrates result in smaller files but may lead to quality loss, while higher bitrates maintain quality but yield larger files.

Two-pass encoding is a technique that analyzes the entire video in the first pass and encodes it in the second pass, optimizing compression and reducing file size.

Chroma subsampling, which reduces color data, can help decrease file size without significantly impacting visual quality.

4K upscaling can result in significant file size increases; for example, a 270 MB 1080p video may increase to 94 GB after upscaling.

Compressing a 4K file from a Blu-ray source can typically reduce the file size by 20-30%, with minimal quality loss.

Hardware acceleration during compression can significantly speed up the encoding process, though it may not be available in all software applications.

AME (Adobe Media Encoder) does not use hardware acceleration, making compression slower, although the end results remain consistent.

Video upscaling can increase file sizes even after compression due to the higher resolution and additional data required to represent the increased detail.

AI-based upscaling tools, such as Nvidia's RTX Video Super Resolution, can improve the quality of video streaming by removing compression artifacts and upscaling resolution.

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