Add your Article
- Agriculture
- Treating peanut allergy bit by bit
- Growing Healthier Tomato Plants
- Keeping Bugs Away from Food
- Computers
- Two monkeys see a more colorful world
- The hungry blob at the edge of the universe
- Hitting the redo button on evolution
- Dinosaurs and Fossils
- Feathered Fossils
- Mammals in the Shadow of Dinosaurs
- Winged Insects May Go Way Back
- E Learning Jamaica
- 2014 GSAT Results for Jamaican Kids
- E Learning in Jamaica WIN PRIZES and try our Fun Animated Games
- Results of GSAT are in schools this week
- Food and Nutrition
- In Search of the Perfect French Fry
- Eat Out, Eat Smart
- Allergies: From Bee Stings to Peanuts
- GSAT Exam Preparation Jamaica
- Tarrant High overcoming the odds
- March 21-22, 2013: Over 43,000 students will take the GSAT Exam
- 42,000 students will sit for the GSAT Exam in two weeks
- GSAT Exams Jamaica Scholarships
- 42,000 students will sit for the GSAT Exam in two weeks
- GSAT stars reap scholarship glory
- GSAT Exam Preparation
- Human Body
- A Fix for Injured Knees
- Football Scrapes and Nasty Infections
- Speedy Gene Gives Runners a Boost
Detecting True Art
Published: 07/05/2010
Real or fake? In the world of art, that can be an expensive question. Famous paintings by classic artists can sell for millions of dollars. To make a quick buck, people sometimes try to sell paintings that are imitations of the real thing. When the forgeries are done well, spotting them can be a major challenge, even for experts. Now, researchers say they have found a new way to tell the real from the fake—using mathematics. The researchers start with a digital image. They use a mathematical technique, known as wavelet decomposition, that breaks this image down into a collection of smaller, more-basic images. This method is especially useful for analyzing textures. In a photograph, it can readily detect the difference between the smooth appearance of a blue sky and the ruffled surface of a grassy field, for example. In a painting, it can capture the texture of an artist's brush strokes. When an imitator tries to copy a master artist, his or her brush strokes would probably be different. "A master might have smooth, consistent strokes, say, while an imitator is jerky," says Hany Farid, one of the researchers. Farid is a computer scientist at Dartmouth College in Hanover, N.H. The researchers used wavelet decomposition and other statistical measures to analyze eight drawings by a 16th-century artist named Pieter Brueghel the Elder. They then compared the data obtained from these drawings with measurements of five imitations revealed to be false just 10 years ago. The team found that the genuine Brueghel drawings all had similar patterns. By the same measure, the fakes were different from each other and from the true drawings. The researchers also studied a painting called "Virgin and Child with Saints." It was created near the beginning of the 16th century in the studio of the Italian artist Pietro Perugino. Their method suggested that at least four artists actually produced the painting. Showing that the method works for two artists is not enough to conclude that it will work across the board. Still, art historians are optimistic. Mathematics may yet earn a place in an expert's toolkit for detecting forgeries.—E. Sohn
Detecting True Art
