diff options
Diffstat (limited to 'python')
| -rwxr-xr-x | python/msvst_starlet.py | 17 |
1 files changed, 11 insertions, 6 deletions
diff --git a/python/msvst_starlet.py b/python/msvst_starlet.py index 7ca42bd..5212498 100755 --- a/python/msvst_starlet.py +++ b/python/msvst_starlet.py @@ -17,6 +17,7 @@ # 2016-04-22: # * Show more verbose information/details # * Fix a bug about "p_cutoff" when "comp" contains ALL False's +# * Add argument "start-scale" to specifiy the start denoising scale # 2016-04-20: # * Add argparse and main() for scripting # @@ -28,7 +29,7 @@ And multi-scale variance stabling transform (MS-VST), which can be used to effectively remove the Poisson noises. """ -__version__ = "0.2.2" +__version__ = "0.2.3" __date__ = "2016-04-22" @@ -431,7 +432,7 @@ class IUWT_VST(IUWT): # {{{ self.sig_supports = [None] # make index match the scale self.p_cutoff = [None] if verbose: - print("MSVST decomposing ...", flush=True, file=sys.stderr) + print("MSVST denosing ...", flush=True, file=sys.stderr) for scale in range(1, self.level+1): coef = self.get_detail(scale) if verbose: @@ -582,6 +583,9 @@ def main(): parser.add_argument("-I", "--fdr-independent", dest="fdr_independent", action="store_true", default=False, help="whether the FDR null hypotheses are independent") + parser.add_argument("-s", "--start-scale", dest="start_scale", + type=int, default=1, + help="which scale to start the denoising") parser.add_argument("-n", "--niter", dest="niter", type=int, default=10, help="number of iterations for reconstruction") @@ -598,10 +602,11 @@ def main(): if args.verbose: print("infile: '%s'" % args.infile, file=sys.stderr) print("outfile: '%s'" % args.outfile, file=sys.stderr) - print("level: %s" % args.level, file=sys.stderr) - print("fdr: %s" % args.fdr, file=sys.stderr) + print("level: %d" % args.level, file=sys.stderr) + print("fdr: %.2f" % args.fdr, file=sys.stderr) print("fdr_independent: %s" % args.fdr_independent, file=sys.stderr) - print("niter: %s\n" % args.niter, flush=True, file=sys.stderr) + print("start_scale: %d" % args.start_scale, file=sys.stderr) + print("niter: %d\n" % args.niter, flush=True, file=sys.stderr) imgfits = fits.open(args.infile) img = imgfits[0].data @@ -609,7 +614,7 @@ def main(): msvst = IUWT_VST(data=img) msvst.decompose(level=args.level, verbose=args.verbose) msvst.denoise(fdr=args.fdr, fdr_independent=args.fdr_independent, - verbose=args.verbose) + start_scale=args.start_scale, verbose=args.verbose) msvst.reconstruct(denoised=True, niter=args.niter, verbose=args.verbose) img_denoised = msvst.reconstruction # Output |