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denoise

Command-line tool to remove shot noise from astronomical images and cubes.

Install

brew tap danieljprice/all
brew install denoise

Usage

denoise image.fits [out.fits]

Advanced usage

Type denoise with no arguments to see the command line options:

denoise: a SPLASH imaging utility (c) 2020 Daniel Price
Usage: denoise [options] infile.fits [outfile.fits]
Options: --imax=3.4e-2 [intensity value above which no smoothing is applied]
--beam=1.0 [beam size in pixels at max intensity]
--its=4 [maximum number of smoothing length iterations]
--use3D=1 [denoise in 3D for spectral cubes]
--start=1 [denoise from channel 1 onwards]
--end=10 [denoise only up to channel 10]

The main one is the --beam argument which sets the minimum beam size (in number of pixels). The default is beam=1.0 which gives no smoothing of the image at the maximum intensity.

Status

build

Installing from source

To compile denoise from source you will need a Fortran compiler (gfortran) and the cfitsio library. Then compile denoise as follows:

git clone --recurse-submodules https://github.com/danieljprice/denoise
export SYSTEM=gfortran
make
make install

If you need to specify the path to the cfitsio library, either set LD_LIBRARY_FLAGS, or the FITS_DIR environment variable to the location where the file libcfitsio.so can be found, e.g.

make FITS_DIR=$HOME/lib

Examples

MWC758 with VLT-SPHERE, from Benisty et al. (2015), before (left) and after (right) denoising MWC758, from Benisty et al. (2015), before (left) and after (right) denoising

UX Tau with VLT-SPHERE, from Ménard et al. (2020), before and after UX Tau, from Ménard et al. (2020), before and after

HD97048 with ALMA (mm/radio image), from Pinte et al. (2019): HD97048, from Pinte et al. (2019)

About this repo

Denoise is officially part of splash (https://github.com/danieljprice/splash). This repository is a standalone version of denoise that is updated with each stable release of splash that affects the relevant source files. Pull requests to this repo will also be incorporated back into the main splash source code.

Updating the enclosed copy of splash source files to the latest

To update the included `submodule' of the splash source code in the denoise repository, use:

git submodule update --remote

About

Removes shot noise from astronomical images using adaptive kernels

Resources

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18 stars

Watchers

2 watching

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GitHub - danieljprice/denoise: Removes shot noise from astronomical images using adaptive kernels · GitHub
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denoise

Command-line tool to remove shot noise from astronomical images and cubes.

Install

brew tap danieljprice/all
brew install denoise

Usage

denoise image.fits [out.fits]

Advanced usage

Type denoise with no arguments to see the command line options:

denoise: a SPLASH imaging utility (c) 2020 Daniel Price
Usage: denoise [options] infile.fits [outfile.fits]
Options: --imax=3.4e-2 [intensity value above which no smoothing is applied]
--beam=1.0 [beam size in pixels at max intensity]
--its=4 [maximum number of smoothing length iterations]
--use3D=1 [denoise in 3D for spectral cubes]
--start=1 [denoise from channel 1 onwards]
--end=10 [denoise only up to channel 10]

The main one is the --beam argument which sets the minimum beam size (in number of pixels). The default is beam=1.0 which gives no smoothing of the image at the maximum intensity.

Status

build

Installing from source

To compile denoise from source you will need a Fortran compiler (gfortran) and the cfitsio library. Then compile denoise as follows:

git clone --recurse-submodules https://github.com/danieljprice/denoise
export SYSTEM=gfortran
make
make install

If you need to specify the path to the cfitsio library, either set LD_LIBRARY_FLAGS, or the FITS_DIR environment variable to the location where the file libcfitsio.so can be found, e.g.

make FITS_DIR=$HOME/lib

Examples

MWC758 with VLT-SPHERE, from Benisty et al. (2015), before (left) and after (right) denoising MWC758, from Benisty et al. (2015), before (left) and after (right) denoising

UX Tau with VLT-SPHERE, from Ménard et al. (2020), before and after UX Tau, from Ménard et al. (2020), before and after

HD97048 with ALMA (mm/radio image), from Pinte et al. (2019): HD97048, from Pinte et al. (2019)

About this repo

Denoise is officially part of splash (https://github.com/danieljprice/splash). This repository is a standalone version of denoise that is updated with each stable release of splash that affects the relevant source files. Pull requests to this repo will also be incorporated back into the main splash source code.

Updating the enclosed copy of splash source files to the latest

To update the included `submodule' of the splash source code in the denoise repository, use:

git submodule update --remote

About

Removes shot noise from astronomical images using adaptive kernels

Resources

Stars

18 stars

Watchers

2 watching

Forks

Releases

Packages

Used by

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { // Force GitHub README to respect dark mode (function() { var style = document.createElement('style'); style.textContent = ' .markdown-body { color-scheme: dark light; } .markdown-body pre { background: #161b22 !important; } .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; } .markdown-body table th, .markdown-body table td { border-color: #30363d !important; } .markdown-body img { background: #0d1117; } .markdown-body blockquote { border-left-color: #8b949e; } .markdown-body hr { border-color: #30363d; } '; document.head.appendChild(style); })(); } } catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ' GitHub - danieljprice/denoise: Removes shot noise from astronomical images using adaptive kernels · GitHub
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denoise

Command-line tool to remove shot noise from astronomical images and cubes.

Install

brew tap danieljprice/all
brew install denoise

Usage

denoise image.fits [out.fits]

Advanced usage

Type denoise with no arguments to see the command line options:

denoise: a SPLASH imaging utility (c) 2020 Daniel Price
Usage: denoise [options] infile.fits [outfile.fits]
Options: --imax=3.4e-2 [intensity value above which no smoothing is applied]
--beam=1.0 [beam size in pixels at max intensity]
--its=4 [maximum number of smoothing length iterations]
--use3D=1 [denoise in 3D for spectral cubes]
--start=1 [denoise from channel 1 onwards]
--end=10 [denoise only up to channel 10]

The main one is the --beam argument which sets the minimum beam size (in number of pixels). The default is beam=1.0 which gives no smoothing of the image at the maximum intensity.

Status

build

Installing from source

To compile denoise from source you will need a Fortran compiler (gfortran) and the cfitsio library. Then compile denoise as follows:

git clone --recurse-submodules https://github.com/danieljprice/denoise
export SYSTEM=gfortran
make
make install

If you need to specify the path to the cfitsio library, either set LD_LIBRARY_FLAGS, or the FITS_DIR environment variable to the location where the file libcfitsio.so can be found, e.g.

make FITS_DIR=$HOME/lib

Examples

MWC758 with VLT-SPHERE, from Benisty et al. (2015), before (left) and after (right) denoising MWC758, from Benisty et al. (2015), before (left) and after (right) denoising

UX Tau with VLT-SPHERE, from Ménard et al. (2020), before and after UX Tau, from Ménard et al. (2020), before and after

HD97048 with ALMA (mm/radio image), from Pinte et al. (2019): HD97048, from Pinte et al. (2019)

About this repo

Denoise is officially part of splash (https://github.com/danieljprice/splash). This repository is a standalone version of denoise that is updated with each stable release of splash that affects the relevant source files. Pull requests to this repo will also be incorporated back into the main splash source code.

Updating the enclosed copy of splash source files to the latest

To update the included `submodule' of the splash source code in the denoise repository, use:

git submodule update --remote

About

Removes shot noise from astronomical images using adaptive kernels

Resources

Stars

18 stars

Watchers

2 watching

Forks

Releases

Packages

Used by

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { // Highlight search terms from Google/DuckDuckGo/Bing referrer (function() { var ref = document.referrer; var terms = []; if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) { var url = new URL(ref); var q = url.searchParams.get('q') || url.searchParams.get('p'); if (q) { terms = q.split(/\s+/).filter(function(t) { return t.length > 2; }); } } if (terms.length === 0) return; var style = document.createElement('style'); style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }'; document.head.appendChild(style); function highlight(node) { if (node.nodeType === 3) { // text node var text = node.textContent; var found = false; terms.forEach(function(term) { var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\]\\]/g, '\\') + ')', 'gi'); if (regex.test(text)) { found = true; var frag = document.createDocumentFragment(); var parts = text.split(regex); parts.forEach(function(part, i) { if (i % 2 === 0) { frag.appendChild(document.createTextNode(part)); } else { var span = document.createElement('span'); span.className = 'userscript-highlight'; span.textContent = part; frag.appendChild(span); } }); node.parentNode.replaceChild(frag, node); } }); } else if (node.nodeType === 1 && node.childNodes) { // element var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT']; if (!skipTags.includes(node.tagName)) { Array.from(node.childNodes).forEach(highlight); } } } highlight(document.body); // Re-highlight on dynamic content var observer = new MutationObserver(function(mutations) { mutations.forEach(function(m) { m.addedNodes.forEach(function(node) { if (node.nodeType === 1 || node.nodeType === 3) highlight(node); }); }); }); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ' GitHub - danieljprice/denoise: Removes shot noise from astronomical images using adaptive kernels · GitHub
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denoise

Command-line tool to remove shot noise from astronomical images and cubes.

Install

brew tap danieljprice/all
brew install denoise

Usage

denoise image.fits [out.fits]

Advanced usage

Type denoise with no arguments to see the command line options:

denoise: a SPLASH imaging utility (c) 2020 Daniel Price
Usage: denoise [options] infile.fits [outfile.fits]
Options: --imax=3.4e-2 [intensity value above which no smoothing is applied]
--beam=1.0 [beam size in pixels at max intensity]
--its=4 [maximum number of smoothing length iterations]
--use3D=1 [denoise in 3D for spectral cubes]
--start=1 [denoise from channel 1 onwards]
--end=10 [denoise only up to channel 10]

The main one is the --beam argument which sets the minimum beam size (in number of pixels). The default is beam=1.0 which gives no smoothing of the image at the maximum intensity.

Status

build

Installing from source

To compile denoise from source you will need a Fortran compiler (gfortran) and the cfitsio library. Then compile denoise as follows:

git clone --recurse-submodules https://github.com/danieljprice/denoise
export SYSTEM=gfortran
make
make install

If you need to specify the path to the cfitsio library, either set LD_LIBRARY_FLAGS, or the FITS_DIR environment variable to the location where the file libcfitsio.so can be found, e.g.

make FITS_DIR=$HOME/lib

Examples

MWC758 with VLT-SPHERE, from Benisty et al. (2015), before (left) and after (right) denoising MWC758, from Benisty et al. (2015), before (left) and after (right) denoising

UX Tau with VLT-SPHERE, from Ménard et al. (2020), before and after UX Tau, from Ménard et al. (2020), before and after

HD97048 with ALMA (mm/radio image), from Pinte et al. (2019): HD97048, from Pinte et al. (2019)

About this repo

Denoise is officially part of splash (https://github.com/danieljprice/splash). This repository is a standalone version of denoise that is updated with each stable release of splash that affects the relevant source files. Pull requests to this repo will also be incorporated back into the main splash source code.

Updating the enclosed copy of splash source files to the latest

To update the included `submodule' of the splash source code in the denoise repository, use:

git submodule update --remote

About

Removes shot noise from astronomical images using adaptive kernels

Resources

Stars

18 stars

Watchers

2 watching

Forks

Releases

Packages

Used by

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { // Strip utm_, fbclid, gclid, etc. from all links on page (function() { var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content', 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid', 'ref', 'ref_src', 'source', 'medium', 'campaign']; function cleanUrl(url) { try { var u = new URL(url, window.location.origin); var changed = false; trackingParams.forEach(function(p) { if (u.searchParams.has(p)) { u.searchParams.delete(p); changed = true; } }); return changed ? u.toString() : url; } catch (e) { return url; } } function cleanLinks() { document.querySelectorAll('a[href]').forEach(function(a) { var clean = cleanUrl(a.href); if (clean !== a.href) a.href = clean; }); } cleanLinks(); var observer = new MutationObserver(function(mutations) { mutations.forEach(function(m) { m.addedNodes.forEach(function(node) { if (node.nodeType === 1) { if (node.tagName === 'A') cleanLinks(); node.querySelectorAll('a[href]').forEach(function(a) { var clean = cleanUrl(a.href); if (clean !== a.href) a.href = clean; }); } }); }); }); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + ' GitHub - danieljprice/denoise: Removes shot noise from astronomical images using adaptive kernels · GitHub
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denoise

Command-line tool to remove shot noise from astronomical images and cubes.

Install

brew tap danieljprice/all
brew install denoise

Usage

denoise image.fits [out.fits]

Advanced usage

Type denoise with no arguments to see the command line options:

denoise: a SPLASH imaging utility (c) 2020 Daniel Price
Usage: denoise [options] infile.fits [outfile.fits]
Options: --imax=3.4e-2 [intensity value above which no smoothing is applied]
--beam=1.0 [beam size in pixels at max intensity]
--its=4 [maximum number of smoothing length iterations]
--use3D=1 [denoise in 3D for spectral cubes]
--start=1 [denoise from channel 1 onwards]
--end=10 [denoise only up to channel 10]

The main one is the --beam argument which sets the minimum beam size (in number of pixels). The default is beam=1.0 which gives no smoothing of the image at the maximum intensity.

Status

build

Installing from source

To compile denoise from source you will need a Fortran compiler (gfortran) and the cfitsio library. Then compile denoise as follows:

git clone --recurse-submodules https://github.com/danieljprice/denoise
export SYSTEM=gfortran
make
make install

If you need to specify the path to the cfitsio library, either set LD_LIBRARY_FLAGS, or the FITS_DIR environment variable to the location where the file libcfitsio.so can be found, e.g.

make FITS_DIR=$HOME/lib

Examples

MWC758 with VLT-SPHERE, from Benisty et al. (2015), before (left) and after (right) denoising MWC758, from Benisty et al. (2015), before (left) and after (right) denoising

UX Tau with VLT-SPHERE, from Ménard et al. (2020), before and after UX Tau, from Ménard et al. (2020), before and after

HD97048 with ALMA (mm/radio image), from Pinte et al. (2019): HD97048, from Pinte et al. (2019)

About this repo

Denoise is officially part of splash (https://github.com/danieljprice/splash). This repository is a standalone version of denoise that is updated with each stable release of splash that affects the relevant source files. Pull requests to this repo will also be incorporated back into the main splash source code.

Updating the enclosed copy of splash source files to the latest

To update the included `submodule' of the splash source code in the denoise repository, use:

git submodule update --remote

About

Removes shot noise from astronomical images using adaptive kernels

Resources

Stars

18 stars

Watchers

2 watching

Forks

Releases

Packages

Used by

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { // Auto-enable theater mode on YouTube (function() { function tryTheater() { var btn = document.querySelector('button[aria-label="Theater mode"], ytd-player #player button[title="Theater mode"]'); if (btn && !btn.classList.contains('activated')) { btn.click(); } } // Try immediately tryTheater(); // Try after navigation (SPA) var lastUrl = location.href; setInterval(function() { if (location.href !== lastUrl) { lastUrl = location.href; setTimeout(tryTheater, 500); } }, 1000); // Also try on player load var observer = new MutationObserver(tryTheater); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ' GitHub - danieljprice/denoise: Removes shot noise from astronomical images using adaptive kernels · GitHub
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denoise

Command-line tool to remove shot noise from astronomical images and cubes.

Install

brew tap danieljprice/all
brew install denoise

Usage

denoise image.fits [out.fits]

Advanced usage

Type denoise with no arguments to see the command line options:

denoise: a SPLASH imaging utility (c) 2020 Daniel Price
Usage: denoise [options] infile.fits [outfile.fits]
Options: --imax=3.4e-2 [intensity value above which no smoothing is applied]
--beam=1.0 [beam size in pixels at max intensity]
--its=4 [maximum number of smoothing length iterations]
--use3D=1 [denoise in 3D for spectral cubes]
--start=1 [denoise from channel 1 onwards]
--end=10 [denoise only up to channel 10]

The main one is the --beam argument which sets the minimum beam size (in number of pixels). The default is beam=1.0 which gives no smoothing of the image at the maximum intensity.

Status

build

Installing from source

To compile denoise from source you will need a Fortran compiler (gfortran) and the cfitsio library. Then compile denoise as follows:

git clone --recurse-submodules https://github.com/danieljprice/denoise
export SYSTEM=gfortran
make
make install

If you need to specify the path to the cfitsio library, either set LD_LIBRARY_FLAGS, or the FITS_DIR environment variable to the location where the file libcfitsio.so can be found, e.g.

make FITS_DIR=$HOME/lib

Examples

MWC758 with VLT-SPHERE, from Benisty et al. (2015), before (left) and after (right) denoising MWC758, from Benisty et al. (2015), before (left) and after (right) denoising

UX Tau with VLT-SPHERE, from Ménard et al. (2020), before and after UX Tau, from Ménard et al. (2020), before and after

HD97048 with ALMA (mm/radio image), from Pinte et al. (2019): HD97048, from Pinte et al. (2019)

About this repo

Denoise is officially part of splash (https://github.com/danieljprice/splash). This repository is a standalone version of denoise that is updated with each stable release of splash that affects the relevant source files. Pull requests to this repo will also be incorporated back into the main splash source code.

Updating the enclosed copy of splash source files to the latest

To update the included `submodule' of the splash source code in the denoise repository, use:

git submodule update --remote

About

Removes shot noise from astronomical images using adaptive kernels

Resources

Stars

18 stars

Watchers

2 watching

Forks

Releases

Packages

Used by

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { // Remove or un-stick sticky/fixed headers that block content (function() { function unstick() { document.querySelectorAll('header, nav, [role="banner"], .header, .navbar, .sticky, .fixed-top, [style*="position: fixed"], [style*="position:sticky"]').forEach(function(el) { if (el.style.position === 'fixed' || el.style.position === 'sticky' || getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') { el.style.position = 'static'; el.style.top = 'auto'; el.style.zIndex = 'auto'; } }); } unstick(); var observer = new MutationObserver(unstick); observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] }); })(); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ' GitHub - danieljprice/denoise: Removes shot noise from astronomical images using adaptive kernels · GitHub
Skip to content

Repository files navigation

denoise

Command-line tool to remove shot noise from astronomical images and cubes.

Install

brew tap danieljprice/all
brew install denoise

Usage

denoise image.fits [out.fits]

Advanced usage

Type denoise with no arguments to see the command line options:

denoise: a SPLASH imaging utility (c) 2020 Daniel Price
Usage: denoise [options] infile.fits [outfile.fits]
Options: --imax=3.4e-2 [intensity value above which no smoothing is applied]
--beam=1.0 [beam size in pixels at max intensity]
--its=4 [maximum number of smoothing length iterations]
--use3D=1 [denoise in 3D for spectral cubes]
--start=1 [denoise from channel 1 onwards]
--end=10 [denoise only up to channel 10]

The main one is the --beam argument which sets the minimum beam size (in number of pixels). The default is beam=1.0 which gives no smoothing of the image at the maximum intensity.

Status

build

Installing from source

To compile denoise from source you will need a Fortran compiler (gfortran) and the cfitsio library. Then compile denoise as follows:

git clone --recurse-submodules https://github.com/danieljprice/denoise
export SYSTEM=gfortran
make
make install

If you need to specify the path to the cfitsio library, either set LD_LIBRARY_FLAGS, or the FITS_DIR environment variable to the location where the file libcfitsio.so can be found, e.g.

make FITS_DIR=$HOME/lib

Examples

MWC758 with VLT-SPHERE, from Benisty et al. (2015), before (left) and after (right) denoising MWC758, from Benisty et al. (2015), before (left) and after (right) denoising

UX Tau with VLT-SPHERE, from Ménard et al. (2020), before and after UX Tau, from Ménard et al. (2020), before and after

HD97048 with ALMA (mm/radio image), from Pinte et al. (2019): HD97048, from Pinte et al. (2019)

About this repo

Denoise is officially part of splash (https://github.com/danieljprice/splash). This repository is a standalone version of denoise that is updated with each stable release of splash that affects the relevant source files. Pull requests to this repo will also be incorporated back into the main splash source code.

Updating the enclosed copy of splash source files to the latest

To update the included `submodule' of the splash source code in the denoise repository, use:

git submodule update --remote

About

Removes shot noise from astronomical images using adaptive kernels

Resources

Stars

18 stars

Watchers

2 watching

Forks

Releases

Packages

Used by

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denoise

Command-line tool to remove shot noise from astronomical images and cubes.

Install

brew tap danieljprice/all
brew install denoise

Usage

denoise image.fits [out.fits]

Advanced usage

Type denoise with no arguments to see the command line options:

denoise: a SPLASH imaging utility (c) 2020 Daniel Price
Usage: denoise [options] infile.fits [outfile.fits]
Options: --imax=3.4e-2 [intensity value above which no smoothing is applied]
--beam=1.0 [beam size in pixels at max intensity]
--its=4 [maximum number of smoothing length iterations]
--use3D=1 [denoise in 3D for spectral cubes]
--start=1 [denoise from channel 1 onwards]
--end=10 [denoise only up to channel 10]

The main one is the --beam argument which sets the minimum beam size (in number of pixels). The default is beam=1.0 which gives no smoothing of the image at the maximum intensity.

Status

build

Installing from source

To compile denoise from source you will need a Fortran compiler (gfortran) and the cfitsio library. Then compile denoise as follows:

git clone --recurse-submodules https://github.com/danieljprice/denoise
export SYSTEM=gfortran
make
make install

If you need to specify the path to the cfitsio library, either set LD_LIBRARY_FLAGS, or the FITS_DIR environment variable to the location where the file libcfitsio.so can be found, e.g.

make FITS_DIR=$HOME/lib

Examples

MWC758 with VLT-SPHERE, from Benisty et al. (2015), before (left) and after (right) denoising MWC758, from Benisty et al. (2015), before (left) and after (right) denoising

UX Tau with VLT-SPHERE, from Ménard et al. (2020), before and after UX Tau, from Ménard et al. (2020), before and after

HD97048 with ALMA (mm/radio image), from Pinte et al. (2019): HD97048, from Pinte et al. (2019)

About this repo

Denoise is officially part of splash (https://github.com/danieljprice/splash). This repository is a standalone version of denoise that is updated with each stable release of splash that affects the relevant source files. Pull requests to this repo will also be incorporated back into the main splash source code.

Updating the enclosed copy of splash source files to the latest

To update the included `submodule' of the splash source code in the denoise repository, use:

git submodule update --remote

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Removes shot noise from astronomical images using adaptive kernels

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