2. Theoretical BasisΒΆ
- 2.1. Upsampling
- 2.1.1. "Fourier Zero Padding"
- 2.1.2. Tile processing of the large image
- 2.1.3. The discontinuous signals
- 2.1.4. User kernel interpolator
- 2.1.4.1. One can give Sirius his own low-pass filter
- 2.1.4.2. The Sirius Filter must lie on the spatial domain
- 2.1.4.3. The Sirius Filter must be sampled like the upsampled (targeted) signal
- 2.1.4.4. The Sirius Filter is odd and a GDAL supported image format
- 2.1.4.5. Sirius auto-shifts the Filter before its FT is computed
- 2.1.4.6. Sirius can normalize the Filter
- 2.1.4.7. When Sirius uses a Filter to upsample, the spectrum is periodized instead of zero padded
- 2.1.5. Convolution near the data edges
- 2.1.6. Float upsampling factor
- 2.2. Downsampling
- 2.3. References
- 2.4. Associated Python Code