Color-Coded Symbology and New Computer Vision Tool to Predict the Historical Color Pallets of the Renaissance Oil Artworks

TL;DR

This paper introduces a new computer vision framework utilizing color symbology and image enhancement to predict and analyze the original color palettes of Renaissance oil paintings, aiding art historical research.

Contribution

The work presents a novel approach combining color symbology and frequency domain image processing to estimate historical color palettes of Renaissance artworks.

Findings

Enhanced image quality through frequency domain processing.

Calculated and analyzed color ratios for palette prediction.

Framework shows potential for broader application in art analysis.

Abstract

In this paper, we discuss possible color palletes, prediction and analysis of originality of the colors that Artists used on the Renaissance oil paintings. This framework goal is to help to use the color symbology and image enhancement tools, to predict the historical color palletes of the Renaissance oil artworks. This work is only the start of a development to explore the possibilities of prediction of color palletes of the Renaissance oil artworks. We believe that framework might be very useful in the prediction of color palletes of the Renaissance oil artworks and other artworks. The images in number 105 have been taken from the paintings of three well-known artists, Rafael, Leonardo Da Vinci, and Rembrandt that are available in the Olga's Gallery. Images are processed in the frequency domain to enhance a quality of images and ratios of primary colors are calculated and analyzed by using new measurements of color-ratios.