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What are some common mistakes to avoid when upscaling washed-out colors using Topaz Video Software to prevent further degradation of the original footage quality?

Topaz Video Enhance AI's default settings can result in washed-out colors due to over-aggressive noise reduction and sharpening algorithms.

The AI model may not always distinguish between noise and image details, leading to a loss of color vibrancy.

Reducing noise reduction and sharpening sliders can help retain color vibrancy when upscaling with Topaz Video Enhance AI.

Experimenting with different AI models can also yield better color retention results.

The "protect" feature in Topaz Video Enhance AI helps preserve details and colors in specific areas of the image.

Using the "color grading" tool can restore vibrancy and accuracy to the video's color palette.

Upscaling without letting the software analyze the entire video first may result in washed-out colors.

When using color management, ensure that your input color space matches your camera's color space, as Topaz does not retain camera metadata.

Upscaling before color correction can result in more accurate colors.

Using Resolve's Superscale or upscaling first, then coloring may provide better results for some videos.

Topaz Video Enhance AI's upscaling control screen is smaller than the final fullscreen viewing, making it difficult to assess colors accurately on smaller screens.

For low-quality, blurry, and heavily compressed videos, the "Motion Deblur Proteus Fine Recover Original Detail 20 Encoder ProRes 422 Std" settings may be suitable, but they require significant rendering time.

Upscale any video of any resolution to 4K with AI. (Get started for free)