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Table 1 Qualitative descriptions of the interpolation methods

From: Data compression in ViSAR sensor networks using non-linear adaptive weighting

 

Different features in video compression

Statistical/polynomial

Quartered (Q)/non-quartered (NQ)

Quality index

Pre-interpolator needed?

Suitability for SAR videos

Pixel location-based adaptivity

Gray level-based adaptivity (edge-guided)

ALMMSE

Statistical (non-linear)

Q (not flexible)

High

No

Yes

No*

Yes

LMMSE

Statistical (non-linear)

Q (not flexible)

High

Yes

Yes

No*

Yes

Bi-linear

Polynomial (linear)

Q/NQ (flexible)

Adequate

No

Yes

Yes (for NQ)

No

Bi-cubic convolution

Polynomial (linear)

Q/NQ (flexible)

Adequate

No

Yes

Yes (for NQ)

No

  1. *LMMSE/ALMMSE is a quartered interpolator (3:1); thus, it does not need distance-based adaptivity. This adaptation is only applicable for NQ templates