Comparative study of basic and hybrid filters for the reduction of noise in Estampages

Abstract

Noise reduction has an impact on preprocessing and quality enhancement of images. In this paper noise reduction techniques are applied on Estampages. Estampages are the exact replica of inscriptions and are the source of our ancient history. In preserving and processing for future, image processing techniques are applied. Noise reduction is mainly accomplished using filters, in our study various filters like Median, Gaussian, Wiener, Gabor, Box filtering, order statistics, morphological operations are applied and comparative study is made with respect to Structural similarity index. Suitable filters are combined with morphological operations to draw inference. Hybrid systems for noise reduction having Erosion combined with Wiener/Median followed by dilation processes are applied to test Estampage images. Visible and comparative studies using SSIM have evidenced good result for Erosion-Median-Dilation & Erosion-Wiener-Dilation combinations.