Guide to Underwater Image Enhancement Using OpenCV
samruddhi
Underwater images often suffer from color loss, low contrast, and haze due to light absorption and scattering. This blog presents a multi-stage OpenCV pipeline in Python to enhance underwater images and videos using white balance correction, red channel restoration, CLAHE, dehazing, sharpening, and gamma correction, with real-time interactive tuning. The post Guide to Underwater Image Enhancement Using OpenCV appeared first on OpenCV .
