Noise shaping is a technique typically used in digital audio, image, and video processing, usually in combination with dithering, as part of the process of quantization or bit-depth reduction of a digital signal. Its purpose is to increase the apparent signal to noise ratio of the resultant signal. It does this by altering the spectral shape of the error that is introduced by dithering and quantization; such that the noise power is at a lower level in frequency bands at which noise is perceived to be more undesirable and at a correspondingly higher level in bands where it is perceived to be less undesirable. A popular noise shaping algorithm used in image processing is known as ‘Floyd Steinberg dithering’; and many noise shaping algorithms used in audio processing are based on an ‘Absolute threshold of hearing’ model.
Read more about Noise Shaping: How Noise Shaping Works, Noise Shaping in Digital Audio
Famous quotes containing the words noise and/or shaping:
“But what it was, alas, I cannot tell,
Because of it I had no perfect view;
But as it was, by guess, I wish it well
And will until I see the same anew.
Shadow, or she, or both, or choose you whither:
Blest be the thing that brought the shadow hither.”
—Unknown. I Heard a Noise and Wishèd for a Sight (l. 13–18)
“Lovers and madmen have such seething brains,
Such shaping fantasies, that apprehend
More than cool reason ever comprehends.
The lunatic, the lover, and the poet
Are of imagination all compact.”
—William Shakespeare (1564–1616)