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Krisp's main product is a software application that can remove background noises and voices from audio in real-time. The software uses machine learning algorithms to analyze the audio signal and separate the speech from background noise, allowing the speech to be output in clear, noise-free audio. This technology has a wide range of ...
dbx was a competing analog noise reduction system developed by David E. Blackmer, founder of Dbx, Inc. [21] It used a root-mean-squared (RMS) encode/decode algorithm with the noise-prone high frequencies boosted, and the entire signal fed through a 2:1 compander. dbx operated across the entire audible bandwidth and unlike Dolby B was unusable ...
The regularization parameter plays a critical role in the denoising process. When =, there is no smoothing and the result is the same as minimizing the sum of squares.As , however, the total variation term plays an increasingly strong role, which forces the result to have smaller total variation, at the expense of being less like the input (noisy) signal.
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Image editors may feature a number of algorithms which can add or remove noise in an image. Some JPEG artifacts can be removed; dust and scratches can be removed and an image can be de-speckled. Noise reduction merely estimates the state of the scene without the noise and is not a substitute for obtaining a "cleaner" image.
This category collects Wikipedia articles on techniques for removal or reduction of noise and artifacts from images and multi-dimensional data. Pages in category "Image noise reduction techniques" The following 19 pages are in this category, out of 19 total.
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