looked at the details of the brightness and color of each pixel and used a data soning technique to turn it into music
Two British scholars have converted the images of a Martian sunrise into music. Dr. Genevieve Williams of the University of Exeter and Dr. Domenico Vicinanza of Anglia Ruskin University used the data sonning technique to create a two-minute sunrise column captured by NASA's Opportunity rover.
Since his arrival on Mars in January 2004, Opportunity Rover has sent detailed photographs of the various features present on the Martian surface. In June, a dust storm forced Opportunity to stop communicating and enter hibernation. However, NASA's Mars Reconnaissance Orbiter was able to capture a picture of the space rover in September.
The images from the East Martian, which British researchers turned into a musical piece, were captured on Opportunity's 5,000th Solo (Martian Day).
To create music, researchers scanned images from left to right. They analyzed the brilliance and color detail of each pixel and combined the information with the elevation of the ground. The team then used the data soning technique that implemented algorithms to assign each item a particular melody and slope, thus translating images into music.
The dark backgrounds were attributed to linear, slow sounds, while bright foundations were described by brighter and more inclined sounds. "We are absolutely delighted to present this work on such a fascinating planet," said Dr. Vicinanza.
Dr. Vicinanza and Dr. Williams will present this soundtrack, called Mars Soundscapes, on Nov. 13 at the SC18 Supercomputing Conference in Dallas. During the presentation, they will use conventional speakers as well as vibrational transducers to let the audience feel vibrations in their hands, listening to this creative musical piece.
According to Dr. Vicinanza, image soning techniques can be useful in a variety of areas, such as studying meteorological changes on a planet, detecting volcanic eruptions, and analyzing specific surface features of the planet.
Technology may also have applications in health science, where researchers may be able to study the appearance of certain colors and shapes that are particularly useful in diagnosing images.