Preservation of Historical Documents using ICM and Filters

Abstract

Digital image enhancement technique is used for improving the visual qualities of the images. In this paper, contaminated Brahmi script is taken as an input and it is enhanced. There are numerous problems in preserving historical documents from degradation due to some bad storage conditions and poor contrast due to humidity. In this work, it is proposed to investigate the efficiency of logarithmic technique to enhance along with the performance of utilizing the Intersecting Cortical Model (ICM) network which is a simplified model of Pulse-Coupled Neural Network (PCNN) model and filters.