![]() ![]() It provides a complete solution that gets the information from multiple frames of the videos and combines them to achieve up to 8K resolution with motion consistency and lossless output. Here are some examples that illustrate the improvements between Low Light v3 (in DeNoise AI v3.6.2) and Low Light v4 (in DeNoise AI v3.7).Video Enhance AI by Topaz Labs provides an impressive solution for enlarging and enhancing the videos. The improvements will also be most visible with images suffering from stronger color noise. With these updates, color blotchiness and patterns are significantly reduced, especially in the highlight and shadow regions. ![]() That’s because we added a smaller model with the sole purpose of matching the input and output color, thereby establishing improved color consistency of the image after the model processes it. This new approach allows the model to focus on improving noise reduction without worrying about color consistency. To alleviate that issue, we adjusted our approach and reduced that color consistency constraint (say that three times fast □) to work on larger regions of the image as opposed to at a very local level. This was due to the Low Light model preserving some of the color in the noise pattern of the original at a very local level, in an effort to provide more consistent color. When using the Low Light v3 model in DeNoise v3.6, you may have experienced blotchiness, or patterns, especially in the highlight and shadow regions of very noisy photos. Release Notes Improved color consistency with Low Light v4
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