About Sangil Lee
developing full-stack applications and posting interactive article
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The new post is updated! Image denoising is a fundamental task in computer vision, aiming to recover a clean image from a noisy observation. Total variation minimization, introduced by Rudin, Osher, and Fatemi (ROF), addresses this by penalizing the image gradient and data fidelity. This post explores the mathematical derivation of the ROF model and implements it using the Chambolle-Pock...
Denoising Image with Total Variation Minimization
Jan 29, 2026
132 views
The new post delves into the specifics of various camera models, exploring the mathematical and geometric concepts used to represent how a camera captures the world. Especially, I focus on the distortion of various camera models. I introduce five camera models: Brown-Conrady distortion, Kannala-Brandt, Scaramuzza, Unified, and Double Sphere models, exploring their schematic representations, mathem...
Exploring Camera Models
Nov 05, 2025
234 views