The image on this page can be downloaded and used freely for
noncommercial purposes as long as proper credit is given to:

 Image captions, left side:
 1. Original
 2. Wavelet
300:1 compression
Preserves all but fine structure
 3. Wavelet packet basis
30:1 compression
Preserves fine structure of bristles
 4. Residual
 Text block, lower left:
 The original image is the sum of the three. Each pulls out different features of the original. We can think of the image as being synthesized by three different instruments, in a way similar to a musical orchestration where the final sound is the sum of the notes from each instrument.
 This mathematical transcription is useful for a more efficient and accurate storage and processing of imaging data, but also provides tools for denoising and identifying structure in images. For example, it can sharpen detail in medical images, such as MRI, and be used to identify particular objects for diagnostic purposes.
 Text block, lower right:
 Sponsored by the:
 Joint Policy Board for Mathematics:
American Mathematical Society
Mathematical Association of America
Society for Industrial and Applied Mathematics Informs
 http://www.mathaware.org/maw/
Images provided by Ronald Coifman, Yale University
Francois Meyer, Assistant Professor of diagnostic radiology, Yale University school of medicine, and computer science at Yale. Meyer was responsible for the processing of the images.
Mathematics Awareness Month is sponsored each year by the Joint Policy Board for Mathematics to recognize the importance of mathematics through written materials and an accompanying poster that highlight mathematical developments and applications in a particular area.