Posts tagged "image-processing"

From U-Net segmentation to modern transformer-based matting, we walk through how a single neural net can isolate a foreground subject in a photo, and why edges and hair are still the hard parts.

Old image upscaling guesses pixels with smooth math. AI upscalers like ESRGAN and Real-ESRGAN hallucinate plausible detail learned from millions of images. Here's the difference and where each fails.

OCR turns pixels back into text — a problem that took decades to crack. We trace the journey from template matching through Tesseract LSTMs to modern multimodal models.

Vector graphics scale infinitely; raster images don't. But not every photo belongs as SVG. Here's when tracing makes sense, when it doesn't, and the algorithms that do the work.