PixInsight Reference Documentation
- Interpolation Algorithms
A description of the pixel interpolation algorithms currently implemented on the PixInsight platform.
- Projection Systems
Description of the projections supported by the WCS scripts.
- The PixInsight Reference Documentation System
A description of the PixInsight Reference Documentation System and the PIDoc markup language.
Adaptive nonlinear intensity transformation based on existing pixel-to-pixel relations.
An interactive text rendering procedure implemented as a dynamic process.
Performs a manual color calibration procedure with previewing of background correction, histogram stretching and color saturation transformations.
Automatic histogram transformation based on statistical image properties.
Using the laws of blackbody radiation, generates a synthetic image as an estimate of flux at the specified effective output wavelength or frequency, and/or a thermal map as an estimate of temperature.
Neutralizes the sky background of a color deep-sky image.
Combines several pixel channels or color space components into a RGB color image.
Extracts one or more pixel channels or color space components from a RGB color image.
Calibrates the color of a linear deep-sky image based on documentary criteria.
Adds or removes image margins.
Implements pixel intensity transformations by interpolation of functions defined through arbitrary user-definable points.
Converts a Color Filter Array (CFA) image into a regular RGB color image.
Replaces pixel values using a defect map image.
Interactive tool to crop, rotate and scale images.
A dynamic tool for interactive PSF fitting.
Rotates images by integer multiples of 90 degrees, or mirrors images horizontally or vertically.
Calibrates an image by applying a conversion factor between instrumental counts and physical energy flux.
Implements a High Dynamic Range (HDR) composition of images with different exposures. Uses a gradient domain method.
Implements a method that enhances fine contrast details. It can be applied to any image with large contrast differences, including HDR images.
Implements gradient domain mosaic creation by merging several registered images into one image without visible borders and seams.
Implements pixel intensity transformations defined by histogram clipping, midtones balance and dynamic range expansion points.
Combines images pixel-by-pixel for signal-to-noise ratio improvement and rejection of spurious image structures.
Image rescaling by integer factors.
Implements local equalization of the histogram. Can be used to enhance local contrast and visibility of structures in the image.
Generates a mask defined by a range of selected pixel values with optional fuzziness, smoothness, mask inversion and lightness/RGBK source components.
Changes the dimensions of an image by interpolation of new pixel values from original pixel data.
Rotates images by arbitrary angles.
Defines a set of histogram transformations applied to the screen rendition of an image, without modifying its pixel data.
Automatic image registration and mosaic generation using stars as alignment references.
Script for aligning deep sky astronomical images using their coordinates.
Script for measuring the flux of the known stars in astronomical images.
Script for solving the coordinates of astronomical images.
Script for solving the coordinates of an astronomical image using control points defined by the user.
Script for creating mosaics of deep sky astronomical images using their coordinates.
Facilitates subframe evaluation, selection and weighting based on several subframe quality related measurements.