#!/usr/bin/env python3 # # Copyright (c) 2017-2018 Weitian LI # MIT license # """ FITS image manipulate tool. """ import sys import argparse import numpy as np from astropy.io import fits from scipy import ndimage class FITSImage: """ FITS image class that deals with plain 2D image (NAXIS=2), but also handles single-frequency single-polarized image cube (NAXIS=3, 4), e.g., created by WSClean. """ def __init__(self, infile, pixelsize=None): self.infile = infile with fits.open(infile) as f: self.header = f[0].header.copy(strip=True) self.data = f[0].data self.ndim = self.data.ndim self.shape = self.data.shape if pixelsize is not None: self.pixelsize = pixelsize # [arcsec] @property def bunit(self): return self.header.get("BUNIT") @property def Nx(self): """ Number of pixels along the X axis (i.e., image width) """ return self.shape[-1] @property def Ny(self): """ Number of pixels along the Y axis (i.e., image height) """ return self.shape[-2] @property def image(self): """ Deal with single-frequency and single-polarized image cube. """ if self.ndim == 2: # NAXIS=2: [Y, X] image = self.data[:, :].copy() elif self.ndim == 3 and self.shape[0] == 1: # NAXIS=3: [FREQ=1, Y, X] image = self.data[0, :, :].copy() elif self.ndim == 4 and self.shape[0] == 1 and self.shape[1] == 1: # NAXIS=4: [STOKES=1, FREQ=1, Y, X] image = self.data[0, 0, :, :].copy() else: raise ValueError("invalid data shape: {1}".format(self.shape)) return image @image.setter def image(self, value): if self.ndim == 2: # NAXIS=2: [Y, X] self.data = np.array(value) elif self.ndim == 3: # NAXIS=3: [FREQ=1, Y, X] self.data = np.array(value)[np.newaxis, :, :] else: # NAXIS=4: [STOKES=1, FREQ=1, Y, X] self.data = np.array(value)[np.newaxis, np.newaxis, :, :] @property def pixelsize(self): """ Image pixel size, in units of [arcsec] """ if hasattr(self, "_pixelsize"): return self._pixelsize try: return self.header["PixSize"] # [arcsec] except KeyError: try: return abs(self.header["CDELT1"]) * 3600 # [deg] -> [arcsec] except KeyError: return None @pixelsize.setter def pixelsize(self, value): # Unit: [arcsec] oldvalue = self.pixelsize self._pixelsize = value # Update header self.header["PixSize"] = value # [arcsec] try: self.header["CDELT1"] *= value / oldvalue self.header["CDELT2"] *= value / oldvalue except KeyError: pass @property def fov(self): """ Image FoV coverage: (fov_x, fov_y) Unit: [deg] """ pixelsize = self.pixelsize if pixelsize: return (self.Nx*pixelsize/3600, self.Ny*pixelsize/3600) else: return None def zoom(self, newsize, order=1): """ Zoom the image to the specified ``newsize``, meanwhile the header information will be updated accordingly to preserve the FoV coverage. NOTE ---- The image aspect ratio cannot be changed. Parameters ---------- newsize : (Nx, Ny) or N The size of the zoomed image. order : int, optional The interpolation order, default: 1 """ try: Nx2, Ny2 = newsize except TypeError: Nx2 = Ny2 = newsize zoom = ((Ny2+0.1)/self.Ny, (Nx2+0.1)/self.Nx) if abs(zoom[0] - zoom[1]) > 1e-3: raise RuntimeError("image aspect ratio cannot be changed") pixelsize_old = self.pixelsize self.image = ndimage.zoom(self.image, zoom=zoom, order=order) self.pixelsize = pixelsize_old * (self.Nx / Nx2) return self.image def write(self, outfile, clobber=False): self.header.add_history(" ".join(sys.argv)) hdu = fits.PrimaryHDU(data=self.data, header=self.header) try: hdu.writeto(outfile, overwrite=clobber) except TypeError: hdu.writeto(outfile, clobber=clobber) def show_info(filename, abs_=None, center=None): """ Show FITS image information. """ fimage = FITSImage(filename) print("Image data shape: {0}".format(fimage.shape)) print("Image size: %dx%d" % (fimage.Nx, fimage.Ny)) print("Data unit: [%s]" % fimage.bunit) pixelsize = fimage.pixelsize if pixelsize: print("Pixel size: %.1f [arcsec]" % pixelsize) print("Field of view: (%.2f, %.2f) [deg]" % fimage.fov) data = fimage.image if abs_: data = np.abs(data) if center: print("Central box size: %d" % center) rows, cols = data.shape rc, cc = rows//2, cols//2 cs1, cs2 = center//2, (center+1)//2 data = data[(rc-cs1):(rc+cs2), (cc-cs1):(cc+cs2)] min_ = np.nanmin(data) max_ = np.nanmax(data) mean = np.nanmean(data) median = np.nanmedian(data) std = np.nanstd(data) iqr = np.diff(np.nanpercentile(data, q=(25, 75))) mad = np.nanmedian(np.abs(data - median)) rms = np.sqrt(np.nanmean(data**2)) print("min: %13.6e" % min_) print("max: %13.6e" % max_) print("range: %13.6e (max - min)" % (max_ - min_)) print("mean: %13.6e" % mean) print("median: %13.6e" % median) print("std: %13.6e (standard deviation)" % std) print("iqr: %13.6e (interquartile range)" % iqr) print("mad: %13.6e (median absolute deviation)" % mad) print("rms: %13.6e (root-mean-squared)" % rms) def cmd_info(args): """ Sub-command: "info", show FITS image information """ for fn in args.files: print(">>> %s <<<" % fn) show_info(fn, abs_=args.abs, center=args.center) print("") def cmd_add(args): """ Sub-command: "add", add the image by a number or other image(s) """ fimage = FITSImage(args.infile) image = fimage.image if args.number: print("Add by number: %g" % args.number) image += args.number else: for fn in args.files: print("Add by another image from: %s" % fn) fimage2 = FITSImage(fn) image += fimage2.image fimage.image = image fimage.write(args.outfile, clobber=args.clobber) print("Saved FITS image to: %s" % args.outfile) def cmd_sub(args): """ Sub-command: "sub", subtract the image by a number or other image(s) """ fimage = FITSImage(args.infile) image = fimage.image if args.number: print("Subtract by number: %g" % args.number) image -= args.number else: for fn in args.files: print("Subtract by another image from: %s" % fn) fimage2 = FITSImage(fn) image -= fimage2.image fimage.image = image fimage.write(args.outfile, clobber=args.clobber) print("Saved FITS image to: %s" % args.outfile) def cmd_mul(args): """ Sub-command: "mul", multiply the image by a number or other image(s) """ fimage = FITSImage(args.infile) image = fimage.image if args.number: print("Multiply by number: %g" % args.number) image *= args.number else: for fn in args.files: print("Multiply by another image from: %s" % fn) fimage2 = FITSImage(fn) image *= fimage2.image fimage.image = image fimage.write(args.outfile, clobber=args.clobber) print("Saved FITS image to: %s" % args.outfile) def cmd_div(args): """ Sub-command: "div", divide the image by a number or other image(s) """ fimage = FITSImage(args.infile) image = fimage.image if args.number: print("Divide by number: %g" % args.number) image /= args.number else: for fn in args.files: print("Divide by another image from: %s" % fn) fimage2 = FITSImage(fn) with np.errstate(divide="warn"): image /= fimage2.image if args.fill_value: print("Filling invalid data with: %s" % args.fill_value) image[~np.isfinite(image)] = float(args.fill_value) fimage.image = image fimage.write(args.outfile, clobber=args.clobber) print("Saved FITS image to: %s" % args.outfile) def cmd_zoom(args): """ Sub-command: "zoom", zoom the image to a new size with FoV coverage preserved. """ fimage = FITSImage(args.infile) print("Image size: %dx%d" % (fimage.Nx, fimage.Ny)) pixelsize = fimage.pixelsize if pixelsize is None: raise RuntimeError("--pixelsize required") else: print("Pixel size: %.1f [arcsec]" % pixelsize) print("Field of view: (%.2f, %.2f) [deg]" % fimage.fov) print("Zooming image ...") print("Interpolation order: %d" % args.order) print("Zoomed image size: %dx%d" % (args.size, args.size)) fimage.zoom(newsize=args.size, order=args.order) print("Zoomed image pixel size: %.1f [arcsec]" % fimage.pixelsize) fimage.write(args.outfile, clobber=args.clobber) print("Saved zoomed FITS image to: %s" % args.outfile) def main(): parser = argparse.ArgumentParser( description="FITS image manipulation tool") subparsers = parser.add_subparsers(dest="subparser_name", title="sub-commands", help="additional help") # sub-command: "info" parser_info = subparsers.add_parser( "info", aliases=["show"], help="show FITS image info") parser_info.add_argument("-c", "--center", dest="center", type=int, help="choose central region of specified size") parser_info.add_argument("-a", "--abs", dest="abs", action="store_true", help="take absolute values of image pixels") parser_info.add_argument("files", nargs="+", help="FITS image filename") parser_info.set_defaults(func=cmd_info) # sub-command: "add" parser_add = subparsers.add_parser( "add", help="add the image by a number or other image(s)") parser_add.add_argument("-C", "--clobber", dest="clobber", action="store_true", help="overwrite existing output file") parser_add.add_argument("-i", "--infile", dest="infile", required=True, help="input FITS image") parser_add.add_argument("-o", "--outfile", dest="outfile", required=True, help="output FITS image") exgrp_add = parser_add.add_mutually_exclusive_group(required=True) exgrp_add.add_argument("-n", "--number", dest="number", type=float, help="number to be added by") exgrp_add.add_argument("-f", "--files", dest="files", nargs="+", help="FITS image(s) to be added by") parser_add.set_defaults(func=cmd_add) # sub-command: "sub" parser_sub = subparsers.add_parser( "sub", aliases=["subtract"], help="subtract the image by a number or other image(s)") parser_sub.add_argument("-C", "--clobber", dest="clobber", action="store_true", help="overwrite existing output file") parser_sub.add_argument("-i", "--infile", dest="infile", required=True, help="input FITS image") parser_sub.add_argument("-o", "--outfile", dest="outfile", required=True, help="output FITS image") exgrp_sub = parser_sub.add_mutually_exclusive_group(required=True) exgrp_sub.add_argument("-n", "--number", dest="number", type=float, help="number to be subtracted by") exgrp_sub.add_argument("-f", "--files", dest="files", nargs="+", help="FITS image(s) to be subtracted by") parser_sub.set_defaults(func=cmd_sub) # sub-command: "mul" parser_mul = subparsers.add_parser( "mul", aliases=["multiply"], help="multiply the image by a number or other image(s)") parser_mul.add_argument("-C", "--clobber", dest="clobber", action="store_true", help="overwrite existing output file") parser_mul.add_argument("-i", "--infile", dest="infile", required=True, help="input FITS image") parser_mul.add_argument("-o", "--outfile", dest="outfile", required=True, help="output FITS image") exgrp_mul = parser_mul.add_mutually_exclusive_group(required=True) exgrp_mul.add_argument("-n", "--number", dest="number", type=float, help="number to be multiplied by") exgrp_mul.add_argument("-f", "--files", dest="files", nargs="+", help="FITS image(s) to be multiplied by") parser_mul.set_defaults(func=cmd_mul) # sub-command: "div" parser_div = subparsers.add_parser( "div", aliases=["divide"], help="divide the image by a number or other image(s)") parser_div.add_argument("-C", "--clobber", dest="clobber", action="store_true", help="overwrite existing output file") parser_div.add_argument("-F", "--fill-value", dest="fill_value", help="value to fill the invalid elements") parser_div.add_argument("-i", "--infile", dest="infile", required=True, help="input FITS image") parser_div.add_argument("-o", "--outfile", dest="outfile", required=True, help="output FITS image") exgrp_div = parser_div.add_mutually_exclusive_group(required=True) exgrp_div.add_argument("-n", "--number", dest="number", type=float, help="number to be divided by") exgrp_div.add_argument("-f", "--files", dest="files", nargs="+", help="FITS image(s) to be divided by") parser_div.set_defaults(func=cmd_div) # sub-command: "zoom" parser_zoom = subparsers.add_parser( "zoom", aliases=["rescale"], help="zoom the image to a new size with FoV coverage preserved") parser_zoom.add_argument("-C", "--clobber", dest="clobber", action="store_true", help="overwrite existing output file") parser_zoom.add_argument("--order", type=int, default=1, help="zoom interpolation order (default: 1)") parser_zoom.add_argument("-s", "--size", type=int, required=True, help="zoomed image size (number of pixels)") parser_zoom.add_argument("-p", "--pixelsize", type=float, help="input FITS image pixel size [arcsec] " + "(default: try to obtain from FITS header)") parser_zoom.add_argument("-i", "--infile", dest="infile", required=True, help="input FITS image") parser_zoom.add_argument("-o", "--outfile", dest="outfile", required=True, help="output zoomed FITS image") parser_zoom.set_defaults(func=cmd_zoom) args = parser.parse_args() args.func(args) if __name__ == "__main__": main()