I have just read about #CosAE: Learnable Fourier Series for Image Restoration
It is an autoencoder that combines Fourier series with neural networks to compress images without losing detail. It excels in super-resolution and image restoration tasks by learning generalizable representations, outperforming current methods.
Is there a standard algorithm to create a halftone screen from a greyscale image? How was this even done before computers?
I mean like in this image. At 50%, the raster is like a checker board, and at darker tones, it's like white circles on black.
So just drawing black circles won't get you there.
#graphics #computergraphics #imageprocessing
Keeping on track with Krita (alpha6 build from master source) and Qt6 builds together with upstream developers, with PyQt6 enabled I can now also use the python scripts in Krita on Haiku. 
(not that I would know how to, as much as I don't know how to code) 
Unveiling HDR Steganography: A New Frontier in Image Concealment
The emergence of HDR steganography introduces a groundbreaking method for hiding images within a single HDR JPEG file, challenging traditional notions of digital content sharing. As this technology ga...
https://news.lavx.hu/article/unveiling-hdr-steganography-a-new-frontier-in-image-concealment
I build a tool to add noise texture to your images
A very compact representation of an image placeholder. Store it inline with your data and show it while the real image is loading for a smoother loading experience.
Utilizes Artificial Bee Colony algorithm for melanoma detection in MATLAB.
For Indian Customer: https://zurl.co/Up1NX
For International Customers other than India https://zurl.co/sCoQW
https://zurl.co/T4boL
#MATLAB #MelanomaDetection #ArtificialBeeColony #MedicalAI #HealthTech #MachineLearning #AIinHealthcare #SkinCancer #Dermatology #TechInnovation #ComputerVision #MedicalResearch #HealthAI #ImageProcessing #DigitalHealth
Workshop on True Image Deconvolution, Restoration, and Analysis
When: March 13th, 2025 – 3 days from now.
2 hours long: 14:30 - 16:30 CET
Where: online, via zoom.
Program: https://www.crg.eu/en/event/workshop-true-image-deconvolution-restoration-and-analysis
Registration: https://apps.crg.es/content/internet/events/webforms/workshop-true-image-deconvolution-restoration-and-analysis
إطلاق الإصدار v3.5.3 من G'MIC! 
يسرنا الإعلان عن إصدار جديد من G'MIC، صندوق أدوات الفلاتر المفضل لديك!
ما الجديد؟
إضافة فلاتر جديدة.
تحسينات في الأداء.
إصلاح الأخطاء.
تطوير فخور: تم تطويره في @GreycLab بواسطة باحثي @CNRS المتحمسين لمعالجة الصور!
التحميل: https://gmic.eu/download.html سجل التغييرات: https://discuss.pixls.us/t/on-the-road-to-3-6
Brighten an image's saturated pixels with Python and PIL
https://rodstephensbooks.com/pil_brighten_saturated_pixels.html
#Python #ImageProcessing
Interactively overlay parts of one image on another with Python and PIL
https://rodstephensbooks.com/pil_overlay_interactive.html
#Python #ImageProcessing
Use a mask to overlay one image on another with Python and PIL
https://rodstephensbooks.com/pil_overlay_with_mask.html
#Python #ImageProcessing
Perform binary contrast enhancement with Python and PIL
https://rodstephensbooks.com/pil_binary_contrast_enhancement.html
#Python #ImageProcessing
Map a trapezoidal image onto an isosceles trapezoid in Python
https://rodstephensbooks.com/rectify_trapezoid.html
#Python #ImageProcessing
Map a trapezoidal image onto a rectangle in Python
https://rodstephensbooks.com/rectify.html
#Python #ImageProcessing
Anybody got some recommendation for a pipeline to scan old photos? I'm using sane scanimage to batch scan the photos. But after that. Automatic crop, deskew, despeckle, sharpening, colour correction and other magic? #photo #archive #linux #computervision #imageprocessing #opensource
Building a simple medical image segmentation tool in #JuliaLang.
So far the method only creates raw contours. Next I need to add contour cutting, merging, spline based smoothing, growing/shrinking, manual drawing, etc. and before you know it we have a high performance and #opensource tool for medical image segmentation!
ITK 5.4.0 Released! 
The Insight Toolkit (ITK) 5.4.0 brings major documentation improvements and modern C++ enhancements:
- Migration to Markdown-based system on ReadTheDocs
- Unified search across all documentation sources
- Python 3.11+ support with Stable ABI wheels
- C++17 required with modern features like structured bindings
- Enhanced DICOM and NRRD metadata support
Full release notes: https://docs.itk.org/en/latest/releases/5.4.0.html
Matthias Wiesmann 
