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Ringing artifacts in image processing

Ringing artifacts in image processing

Ringing is an image artifact that may appear when Doing Deconvolution under certain conditions. It produces dark and light ripples around bright features of an image. Inverse filtering techniques like Wiener Filter suffer specifically from ringing artifacts. The Huygens software does not apply such techniques at all.

  1. What causes ringing effect image processing?
  2. What are blurring and ringing effects?
  3. What does ringing do to data?
  4. What is ringing effect in ideal low-pass filter?

What causes ringing effect image processing?

Ringing effect so known as Gibbs phenomenon in mathematical methods of image processing is the annoying effect in images and video appeared as rippling artifact near sharp edges. This effect is caused by distortion or loss of high frequency information in image.

What are blurring and ringing effects?

Blur occurs during filtering or visual data compression and ringing occurs by the quantization or truncating of the high frequency transform coefficients resulting from DCT or wavelet based coding.

What does ringing do to data?

Ringing is undesirable because it causes extra current to flow, thereby wasting energy and causing extra heating of the components; it can cause unwanted electromagnetic radiation to be emitted; it can delay arrival at a desired final state (increase settling time); and it may cause unwanted triggering of bistable ...

What is ringing effect in ideal low-pass filter?

The main cause of ringing artifacts is due to a signal being bandlimited (specifically, not having high frequencies) or passed through a low-pass filter; this is the frequency domain description.

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