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Raphael’s Famed Artwork Holds Surprising Artistic Secrets

Introduction to the Discovery in Raphael’s Painting

Credit: DepositPhotos

A 500-year-old painting by Raphael, a master of the Renaissance, has been found to include work by another artist. This revelation comes from a new study using artificial intelligence.

The University of Bradford’s Research

Credit: Bradford, West Yorkshire, UK, October 2013, the University of Bradford JB Priestley Library — Photo by ElectricEgg

Scientists from England’s University of Bradford led the investigation. They used AI to analyze the “Madonna della Rosa,” revealing that the face of Joseph was painted by someone else.

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Raphael’s Renowned Artistry

Credit: DepositPhotos

Raphael, living from 1483 to 1520, is celebrated for iconic works like “The School of Athens” and “Three Graces.” His influence extends through centuries of art history.

The AI Algorithm’s Role

Credit:Raphael Sistine Madonna in Dresden gallery. Visitors admiring old paintings in Zwinger, Dresden, Germany. — Photo by Wlad_Mus

Hassan Ugail, the director of the Centre for Visual Computing and Intelligent Systems, developed an algorithm. This tool can recognize genuine Raphael paintings with 98% accuracy.

Technical Aspects of the AI Analysis

Credit: DepositPhotos

The AI algorithm examines 4,000 parameters, such as brushstrokes and color palette. These intricate analyses help determine the authenticity of Raphael’s works.

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The Mystery of “Madonna della Rosa”

Credit: Marilla Sicilia/Archivio Marilla Sicilia/Mondadori Portfolio via Getty Images

The “Madonna della Rosa,” currently in Madrid’s Museo del Prado, has been a subject of debate among art connoisseurs. Questions arose about the disparity in the painting’s quality.

Expert Insights on the Painting

Credit: DepositPhotos

Study co-author Howell Edwards pointed out the difference in quality between the figures in the painting. He noted that the Madonna, Child, and St John are clearly Raphael’s work, unlike St Joseph’s.

 

AI’s Controversial Role in Art Authentication

Credit: DepositPhotos

The use of AI in art, such as in the case of the “de Brécy Tondo,” has sparked debate. Some art historians are sceptical of technology’s role in determining art authenticity.

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Ugail’s Response to Criticism

Credit: DepositPhotos

Ugail expressed surprise at the dismissive attitude of some art historians. He defends the AI’s capability to analyze details beyond human perception.

The Broader Implications of AI in Art

Credit: DepositPhotos

The debate over the “de Brécy Tondo” highlights the growing role of AI in art authentication. Ugail views AI as complementary to traditional methods like provenance research.

Future Plans for AI in Art

Credit: DepositPhotos

Ugail is planning to develop algorithms for recognizing works by other artists. This advancement could significantly impact the field of art authentication.

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Publication of the Research

Credits: DepositPhotos

The findings of this groundbreaking study have been published. They are available in the peer-reviewed Heritage Science journal.

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