An approach for image sonification

This paper presents a new approach for image to sound mapping. The proposed method utilizes the music parameters such as pitch and rhythm to support translation of images into sounds. Many people have tried image-to-sound mapping or data-to-sound mapping and failed to prove the useful results and many people haven't followed the principles of psychoacoustics in implementing image to sound conversion methods. The important bottleneck in these kinds of experiments is that humans can't remember the normal sounds as compared to music. A method is developed to overcome this bottleneck by utilizing musical parameters. Most of the available tools have been tested on the participants and it has been discovered that the technology available to convert data streams into sounds was not sufficient and needed an improvement.