Utilization of the time-varying weights in the estimator makes the blind noise-suppression from non-stationary signals without correlation, conceivable.
As we gathered speed, Nigel put his hands on my shoulders and lifted me, I thought, for a kiss — we had not yet kissed — but instead he slammed my shoulders back down, and my skull met the floor in a blinding, white-noise kind of way.
There are many powerful and accurate blind methods for noise variance estimation for the cases of additive and multiplicative noise models.
First, the methods of blind evaluation of noise variance and spatial spectrum [56, 57, 60, 64] have not been intensively tested for small values of noise variance (of the order 5...20 for images with 8-bit representation).
Those who were stereo blind just saw noise.
Separated into lengthy movements over almost an hour and a half which left space for applause, the format permitted dramatic changes in tone, from blind alleys of noise over a dissonant, syncopated drum part to sludgy, nocturnal waves of sound effects underpinned by an almost subsonic bass rumble and some desperately uplifting trombone from Henriksen.
Earlier, we mentioned the methods for blind evaluation of noise variance which are accurate enough.
Being applied at the first stage of image processing chain [8, 9, 11, 12], blind estimation of noise parameters provides data for next stages.
Then, a task of blind estimation of noise characteristics for each particular image subject to further processing, in particular, denoising [9, 11, 12] becomes of prime importance.
