Multi-frame Noise Reduction: Finding Signal in the Noise
Multi-frame noise reduction averages multiple shots to isolate the true signal. The underlying image is consistent, while random noise cancels out. It's key for low-light phone photos and video.
Multi-frame noise reduction finds the true signal by averaging multiple noisy frames. Because the underlying scene is consistent but the noise is random, averaging reinforces the signal and cancels out the noise. This is key for low-light smartphone photos and video denoising, letting small sensors punch above their weight. The main footgun is motion: without aligning frames via motion compensation, moving objects will blur or create 'ghosts' in the final blended image.
Read the original → Wikipedia: Video denoising
- #computer vision
- #computational photography
- #signal processing
- #denoising
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