Color-Coded Symbology and New Computer Vision Tool to Predict the Historical Color Pallets of the Renaissance Oil Artworks
This work addresses the need for tools to predict and analyze color palettes in Renaissance artworks, but it is incremental as it is described as only a starting development.
The paper tackles the problem of predicting historical color palettes in Renaissance oil paintings by analyzing 105 images from artists like Rafael, Leonardo Da Vinci, and Rembrandt, using frequency domain processing and new color-ratio measurements to enhance image quality and calculate color ratios.
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.