Most multimedia processing techniques focus on processing images using macroscopic level (local or at the pixel level) methods. Our approach works on bit level image processing, which lends itself to better solving nanoscale multimedia data processing and transmission problems, such as those found in medical, text, audio, and video applications.

With our arrangement, several data processing implementations for various applications can be very efficient and fast. This technique is particularly relevant for certain exemplary embodiments and applications, such as edge detection and image compression. Substantial gains in image clarity, recognition, speed of process and compression and resultant memory requirements have been demonstrated.

Broadly, our proprietary methods are applicable to applications in general in which it is desirable to process large amounts of data quickly and efficiently and include: image/video processing (for instance image/video interpolation, resizing and de-noising, compression and representation, object/target localization, classifications, and recognitions), signal processing, multimedia processing, system biology, cellular automata logic circuit design, software design, encryption, multimedia security (data hiding, steganography, watermarking), hardware design, recognition, fault detection, compression, filtering, de-noising, and minimizing hardware designs.

Hardware and software implementations are under development for integration with leading, off-the-shelf products and tools.