Found 31 repositories(showing 30)
No description available
stheakanath
Uses NCC, SSD, and Image Pyramiding to auto-align and colorize the Prokudin-Gorskii photo collection.
No description available
The goal of this project is to take RGB individual images and with some image processing techniques, to automatically produce a color image. In order to do this, we will need to 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.
nadiahyder
Produces color images from grayscale Prokudin-Gorskii glass plate images.
jwn8175
Project 1: Images of the Russian Empire -- Colorizing the Prokudin-Gorskii Photo Collection
vandanaPGaallee
Performs image processing techniques on Prokudin-Gorskii photo collection to align the R,G,B channel images and produce a color image using Normalized cross correlation and sum of square difference techniques.
victorygod
The goal of this assignment 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. In order to do this, I extracted the three color channel images, placed them on top of each other, and aligned them so that they form a single RGB color image
GabrielTrier
Computer Vision Lab at CentraleSupéléc - Colorizing Prokudin-Gorskii images of russian empire
alprbykn
Prokudin-Gorskii image colorizer
Repository for projects related to CS543: Computer Vision
No description available
MaryamOstadsharif
No description available
GHasanKaraman
Colorizing digitized Prokudin-Gorskii glass plate images
danielronnkvist
Colorize images from the Prokudin-Gorskii collection
bcui1991
Colorizing Prokudin-Gorskii images of the Russian Empire
No description available
No description available
yigitbkucuk
Image alignment and color restoration for Prokudin-Gorskii photographs
Tangrichard
Images of the Russian Empire: Colorizing the Prokudin-Gorskii photo collection
atahanozdemir21
Images of the Russian Empire: Colorizing the Prokudin-Gorskii photo collection
MahmutPoyraz
Aligning and colorizing digitized Prokudin-Gorskii glass plate images using image processing algorithms in Python.
thomasajai
Color image reconstruction from Prokudin-Gorskii glass plate scans using multi-channel alignment, image registration, and similarity-based offset estimation.
sagargour24
Using OpenCV and Scikit-Image to align Prokudin Gorskii images from their individual channel plates [R,G,B] into a single color image.
Nikelroid
Python implementations of fundamental image processing algorithms, including Prokudin-Gorskii plate alignment, exact histogram matching, selective color manipulation, and vectorized blur benchmarking.
ChengjiePL
Bring historic Prokudin-Gorskii glass plate images to full color by splitting them into three channels (B, G, R), aligning them, and merging into a single RGB image.
vienvuong
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.
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.
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.