An adaptive image encoding technique using pyramid architecture

An adaptive block truncation encoding scheme is described. The adaptive block size encoding approach used removes the bottlenecks of compromising the reduction factor and fidelity of the decoded image present in the corresponding fixed block size scheme. The results show that the adaptive scheme produces a better reduction ratio, keeping approximately the same fidelity measure. The scheme is suitable for implementation with the pyramidal architecture which has a hierarchical nature of processing and needs greatly reduced logarithmic distances for passing information among the processing elements of the meshes. An added advantage of the present system is that it extracts most of the edge information and localizes it at the lowest mesh with respect to the host. This simplifies greatly the further processing of the image regarding its edges and regions