Siril/Siril Application 1.2 — Spanish @ Weblate: Usage tips

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	English	Spanish	Actions
	Compensation factor	Factor de escala de HCompress
	This parameter controls the sharpness of the estimated PSF. If the underlying image is sharp, this parameter should be set to a large value to avoid artefacts in the estimated PSF. On the other hand, if the underlying image contains a small amount of intrinsic blur (i.e. as a result of being oversampled) this parameter should be reduced to close to unity in order to obtain sufficient sharpness in the PSF.
	Samples per outer loop	Muestras por línea
	Outer loop iterations	Auto limitar iteraciones
	This parameter sets the number of samples per outer loop. Sufficient samples must be chosen to ensure the PSF estimate converges: for low noise images a fairly small number of samples will suffice. For noisy images, the value may require increasing to as much as around 250.
	Outer loop iterations. This parameter should not generally require adjustment.
	Inner loop iterations	Iteraciones
	This parameter sets the number of iterations in the algorithm inner loop. It should not usually require adjustment.
	Spectral Irregularity Method
	Symmetrical PSF	PSF Dinámico
	If checked, a PSF defined from stars will be circularly symmetric. If unchecked the PSF may be elongated and have a defined rotation angle.
	PSF from Stars	PSF en el área
	PSF Generation	Generación de muestras
	PSF Preview	Previsualización
	Shows a preview of the PSF, if one has been calculated.
	Usage tips	Uso: %s
	Opens a page in the online Siril documentation with usage tips and examples of settings that can work for different types of image.
	Once the PSF is estimated or provided the image is finally deconvolved using the selected algorithm. Choose Richardson-Lucy for deep space images; choose either Split Bregman or Wiener filtering for lunar and planetary images.
	Split Bregman method with TV regularization
	Richardson-Lucy method with TV regularization
	Wiener filter	Añadir otro filtro
	Number of iterations for final deconvolution if using an iterative method
	Regularization parameter for the final non-blind stage deconvolution
	Sets an early stop criterion for the Richardson-Lucy algorithm to prevent noise amplification. Deconvolution will stop early if the average pixel difference ratio between subsequent iterations is less than this value.
	Total Variation regularization preserves sharp edges in the image well. If in doubt, stick with Total Variation. However it can have a tendency to produce a "staircase effect" in large uniform areas. Frobenius norm of the Hessian uses a second order regularization term. It is more often used in regularizing denoising algorithms but can perform well when deconvolving a star mask produced by Siril's Starnet++ interface.
	Total Variation	Saturación del color
	Frobenius norm of Hessian
	Alpha (α)
	Stopping criterion	Recortando a la selección
	Sets a stopping criterion based on difference between successive estimates. To activate the criterion the checkbox must be selected.
	Regularization	Neutralización del fondo

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Source string location

src/gui/siril3.glade:7457

String age

11 months ago

Last updated

3 months ago

Source string age

11 months ago

Translation file

po/es_ES.po, string 285