image-processing
3 posts · browse all tags
Image processing, computer vision, and computer graphics: one picture, three directions of the arrow
Three fields, one shared object — the digital image. Graphics turns a model into an image (forward), vision turns an image into a model (inverse), and image processing turns an image into a better image. Worked on a single red-ball scene, with a 1957→2026 timeline of how they split apart and re-merged.
How 2D Convolution Works on Images: Kernels, Filters, and the Math, Interactively
2D convolution is the operation behind blur, sharpening, edge detection — and every CNN. Slide a kernel, multiply, sum: see it happen step by step in an interactive demo, apply real kernels to a live image, and get the math plus runnable OpenCV in Python and C++.
From Photons to Pixels: Image Formation and Color Spaces, with OpenCV in Python and C++
How a camera turns light into an array of numbers — projection, sampling, quantization, the Bayer sensor — and the color spaces (RGB/BGR, grayscale, HSV, YCrCb, Lab) you convert between every day. The equations, plus runnable OpenCV in both Python and C++.