In this paper we discuss the formulation of, and show the results for, a new compression/decompression algorithm called DYNAMAC, that has its basis in nonlinear systems theory. We show that we are able to achieve significant compression of RGB image data while maintaining good image quality. We discuss the implementation of this algorithm in hardware, show that the same process is applicable to other digital forms of data, demonstrate that the decompression process is ideal for streaming applications, and show that the algorithm has an exploitable aspect of encryption useful for digital rights management and secure transmission. We discuss our methodology for the improvement of the performance of this codec.
Date of creation, presentation, or exhibit
Department, Program, or Center
Computer Engineering (KGCOE)
Glenn, Chance; Eastman, Michael; and Paliwal, Gaurav, "A New Digital Image Compression Algorithm Based on Nonlinear Dynamical Systems" (2005). Accessed from
RIT – Main Campus