This code will extract 3 grayscale images and combine them to create a color photo.

Project 1: Images of the Russian Empire -- Colorizing the Prokudin-Gorskii Photo Collection

Project 1: Colorizing the Prokudin-Gorskii photo collection

CS180 Project 1: Colorizing the Prokudin-Gorskii Photo Collection

COMPSCI 670 Computer Vision Mini Project: Photometric Stereo and Aligning Prokudin-Gorskii images

OpenCV project to align RGB channels of a misaligned image from the Prokudin-Gorskii collection using feature-based image alignment.

In this project, I used NCC to find the best alignment of the red, green, and blue channels of Prokudin-Gorskii

A computer vision project that reconstructs historical color photographs from Prokudin-Gorskii glass plate negatives by aligning RGB channels using NCC/SSD metrics and multi-scale image pyramids, followed by automatic cropping and contrast enhancement.

Sergey Prokudin-Gorskii captured early color photographs by taking three separate exposures through blue, green, and red filters. The resulting scans are stacked vertically in a single grayscale image. This project reconstructs a modern color photo by splitting, aligning, and enhancing those three exposures.

The goal of this project is to take the digitized Prokudin-Gorskii glass plate images and, using image processing techniques, automatically produce a color image with as few visual artifacts as possible. You can find more explanation and citations in report file.

This project reconstructs color images from historical Prokudin‑Gorskii photo plates by splitting stacked grayscale scans into B, G, and R channels, aligning them using NCC or SSD (optionally with a multiscale pyramid), and enhancing the result with histogram equalization, gamma correction, and unsharp masking, plus automatic border cropping.

This project takes the digitized Prokudin-Gorskii glass plate images and automatically produces a color image with as few visual artifacts as possible. To achieve this, I extract the three color channel images, place them on top of each other, and align them so that they form a single RGB color image.