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Distortion-correction

This repository contains code associated with the paper 'High Resolution and Large Field of View Imaging Using a Stitching Procedure Coupled with Distortion Corrections' (https://doi.org/10.1016/j.optlastec.2024.111165) An open-source library designed for automatically identifying distortion fields within image mosaics. Provided sufficient grey-level gradient (speckle like texture), a distortion function can be identified. The identified fields enable the subsequent correction of mosaic images, leading to improved stitching results. This code represents an addition to the extensive and varied literature on image stitching.

Dependencies

  • Please see requirements.txt

Authors

This library was developed by:

Ali Rouwane Damien Texier Jean-Charles Passieux

All members of the Institut Clément Ader, Toulouse, France.

This project was granted by the European Research Council, project HT-$S_4$DefOx - Grant number 948007.

Contributions

Bug reports, feature requests, pull requests, documentation enhancement are welcome. Thank you.

License

This project is licensed under the CC0-1.0 License - see the LICENSE.md file for details.

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A python library for image stitching with distortion correction

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all 
 blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '

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Distortion-correction
This repository contains code associated with the paper
'High Resolution and Large Field of View Imaging Using a Stitching Procedure Coupled with Distortion Corrections'
(https://doi.org/10.1016/j.optlastec.2024.111165)
An open-source library designed for automatically identifying distortion fields within image mosaics.
Provided sufficient grey-level gradient (speckle like texture), a distortion function can be identified.
The identified fields enable the subsequent correction of mosaic images, leading to improved stitching results.
This code represents an addition to the extensive and varied literature on image stitching.
Dependencies
  • Please see requirements.txt
Authors
This library was developed by:
Ali Rouwane Damien Texier Jean-Charles Passieux

All members of the Institut Clément Ader, Toulouse, France.
This project was granted by the European Research Council,
project HT-$S_4$DefOx - Grant number 948007.
Contributions
Bug reports, feature requests, pull requests, documentation enhancement are welcome. Thank you.
License
This project is licensed under the CC0-1.0 License - see the LICENSE.md file for details.
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A python library for image stitching with distortion correction
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix");
}
} catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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Repository files navigation
Distortion-correction
This repository contains code associated with the paper
'High Resolution and Large Field of View Imaging Using a Stitching Procedure Coupled with Distortion Corrections'
(https://doi.org/10.1016/j.optlastec.2024.111165)
An open-source library designed for automatically identifying distortion fields within image mosaics.
Provided sufficient grey-level gradient (speckle like texture), a distortion function can be identified.
The identified fields enable the subsequent correction of mosaic images, leading to improved stitching results.
This code represents an addition to the extensive and varied literature on image stitching.
Dependencies
  • Please see requirements.txt
Authors
This library was developed by:
Ali Rouwane Damien Texier Jean-Charles Passieux

All members of the Institut Clément Ader, Toulouse, France.
This project was granted by the European Research Council,
project HT-$S_4$DefOx - Grant number 948007.
Contributions
Bug reports, feature requests, pull requests, documentation enhancement are welcome. Thank you.
License
This project is licensed under the CC0-1.0 License - see the LICENSE.md file for details.
About
A python library for image stitching with distortion correction
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms");
}
} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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Repository files navigation
Distortion-correction
This repository contains code associated with the paper
'High Resolution and Large Field of View Imaging Using a Stitching Procedure Coupled with Distortion Corrections'
(https://doi.org/10.1016/j.optlastec.2024.111165)
An open-source library designed for automatically identifying distortion fields within image mosaics.
Provided sufficient grey-level gradient (speckle like texture), a distortion function can be identified.
The identified fields enable the subsequent correction of mosaic images, leading to improved stitching results.
This code represents an addition to the extensive and varied literature on image stitching.
Dependencies
  • Please see requirements.txt
Authors
This library was developed by:
Ali Rouwane Damien Texier Jean-Charles Passieux

All members of the Institut Clément Ader, Toulouse, France.
This project was granted by the European Research Council,
project HT-$S_4$DefOx - Grant number 948007.
Contributions
Bug reports, feature requests, pull requests, documentation enhancement are welcome. Thank you.
License
This project is licensed under the CC0-1.0 License - see the LICENSE.md file for details.
About
A python library for image stitching with distortion correction
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links");
}
} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '

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Repository files navigation
Distortion-correction
This repository contains code associated with the paper
'High Resolution and Large Field of View Imaging Using a Stitching Procedure Coupled with Distortion Corrections'
(https://doi.org/10.1016/j.optlastec.2024.111165)
An open-source library designed for automatically identifying distortion fields within image mosaics.
Provided sufficient grey-level gradient (speckle like texture), a distortion function can be identified.
The identified fields enable the subsequent correction of mosaic images, leading to improved stitching results.
This code represents an addition to the extensive and varied literature on image stitching.
Dependencies
  • Please see requirements.txt
Authors
This library was developed by:
Ali Rouwane Damien Texier Jean-Charles Passieux

All members of the Institut Clément Ader, Toulouse, France.
This project was granted by the European Research Council,
project HT-$S_4$DefOx - Grant number 948007.
Contributions
Bug reports, feature requests, pull requests, documentation enhancement are welcome. Thank you.
License
This project is licensed under the CC0-1.0 License - see the LICENSE.md file for details.
About
A python library for image stitching with distortion correction
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Readme
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default");
}
} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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Repository files navigation
Distortion-correction
This repository contains code associated with the paper
'High Resolution and Large Field of View Imaging Using a Stitching Procedure Coupled with Distortion Corrections'
(https://doi.org/10.1016/j.optlastec.2024.111165)
An open-source library designed for automatically identifying distortion fields within image mosaics.
Provided sufficient grey-level gradient (speckle like texture), a distortion function can be identified.
The identified fields enable the subsequent correction of mosaic images, leading to improved stitching results.
This code represents an addition to the extensive and varied literature on image stitching.
Dependencies
  • Please see requirements.txt
Authors
This library was developed by:
Ali Rouwane Damien Texier Jean-Charles Passieux

All members of the Institut Clément Ader, Toulouse, France.
This project was granted by the European Research Council,
project HT-$S_4$DefOx - Grant number 948007.
Contributions
Bug reports, feature requests, pull requests, documentation enhancement are welcome. Thank you.
License
This project is licensed under the CC0-1.0 License - see the LICENSE.md file for details.
About
A python library for image stitching with distortion correction
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers");
}
} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
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try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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Repository files navigation
Distortion-correction
This repository contains code associated with the paper
'High Resolution and Large Field of View Imaging Using a Stitching Procedure Coupled with Distortion Corrections'
(https://doi.org/10.1016/j.optlastec.2024.111165)
An open-source library designed for automatically identifying distortion fields within image mosaics.
Provided sufficient grey-level gradient (speckle like texture), a distortion function can be identified.
The identified fields enable the subsequent correction of mosaic images, leading to improved stitching results.
This code represents an addition to the extensive and varied literature on image stitching.
Dependencies
  • Please see requirements.txt
Authors
This library was developed by:
Ali Rouwane Damien Texier Jean-Charles Passieux

All members of the Institut Clément Ader, Toulouse, France.
This project was granted by the European Research Council,
project HT-$S_4$DefOx - Grant number 948007.
Contributions
Bug reports, feature requests, pull requests, documentation enhancement are welcome. Thank you.
License
This project is licensed under the CC0-1.0 License - see the LICENSE.md file for details.
About
A python library for image stitching with distortion correction
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode");
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();

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Repository files navigation
Distortion-correction
This repository contains code associated with the paper
'High Resolution and Large Field of View Imaging Using a Stitching Procedure Coupled with Distortion Corrections'
(https://doi.org/10.1016/j.optlastec.2024.111165)
An open-source library designed for automatically identifying distortion fields within image mosaics.
Provided sufficient grey-level gradient (speckle like texture), a distortion function can be identified.
The identified fields enable the subsequent correction of mosaic images, leading to improved stitching results.
This code represents an addition to the extensive and varied literature on image stitching.
Dependencies
  • Please see requirements.txt
Authors
This library was developed by:
Ali Rouwane Damien Texier Jean-Charles Passieux

All members of the Institut Clément Ader, Toulouse, France.
This project was granted by the European Research Council,
project HT-$S_4$DefOx - Grant number 948007.
Contributions
Bug reports, feature requests, pull requests, documentation enhancement are welcome. Thank you.
License
This project is licensed under the CC0-1.0 License - see the LICENSE.md file for details.
About
A python library for image stitching with distortion correction
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