Digital Image Noise Filtering Using Evolvable Hardware

Images obtained through modern cameras may be infected by a range of noise sources, it may be the photon or a chip electronic noise and also by the distortion such as shading or improper lighting. The system should adapt to these changing environment autonomously. For example, to the changes of illumination or after replacement of a damaged camera, for this automatic design, a new technique is described, i.e. Evolvable Hardware (EHW) which changes hardware structure in order to adapt to the environment in which it is fixed. The communications between the evolutionary algorithm and electronics give rise to the field “evolvable hardware”. Evolvable hardware architectures that can evolve autonomously straight on the reconfigurable fabric of FPGAs, using Dynamic partial recofiguration.This DPR creates a very high level of flexibility and it helps to recognize the adaptive hardware algorithms.