Reduction of Noises From Degraded Document Images Using Image Enhancement Techniques

Abstract

Evolution of digital devices and computers makes an increasing attraction in document image analysis. Many of the paper documents have been transferred and stored using digital devices in large manner. In this work, we have done image enhancement techniques to reduce the noises from degraded document images. Here, we have taken sample images from Document Image Binarization Contest (DIBCO) dataset images. We have done contrast stretching, histogram equalization, noise filtering, Laplacian transformation, global and local thresholding methods to remove show-through noise, uneven illumination noise and shot noise from degraded document images using OpenCV open source software. Further, performance metrics were estimated to understand the efficiency of the above methods in removing the aforementioned noises.