Image Enhancement Using Homomorphic Filtering and Adaptive Median Filtering for Balinese Papyrus (Lontar)
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2015, Vol 6, Issue 8
Abstract
Balinese papyrus (Lontar) is one of the most popular media to write for more than a hundred years in Indonesia. Balinese papyrus are used to document things that are considered important in the past. Most of the balinese papyrus suffered damage caused by weathering, edible fungus and insects making it is difficult to read. One of the efforts made to preserve the existence of balinese papyrus is to perform digitization of it. The problems most often encountered in the process of digitizing the image of the balinese papyrus is less good results as there is noise caused by its conditions that have been damaged and the uneven distribution illumination in this part of the image. In this study the authors propose to combine homomorphic filtering with adaptive median filtering to perform image enhancement. Surve results obtained show the percentage of the average respondents stated that the image enhancement results are good is 83.4%, the percentage of the average respondents stated that the image enhancement results are very good is 4% and the percentage of the average respondents stated that the image enhancement results are enough is 12, 6%.
Authors and Affiliations
Ida Bagus Arnawa
Keywords
Related Articles
- EP ID EP106261
- DOI 10.14569/IJACSA.2015.060833
- Views 105
- Downloads 0
Intelligent Watermarking Scheme for image Authentication and Recovery
Recently, researchers have proposed semi-fragile watermarking techniques with the additional capability of image recovery. However, these approaches have certain limitations with respect to capacity, imperceptibility, an...
Location Prediction in a Smart Environment
The context prediction and especially the location prediction is an important feature for improving the performance of smart systems. Predicting the next location or context of the user make the system proactive, so the...
Towards an Architecture for Handling Big Data in Oil and Gas Industries: Service-Oriented Approach
Existing architectures to handle big data in Oil & gas industry are based on industry-specific platforms and hence limited to specific tools and technologies. With these architectures, we are confined to big data single-...
Evolutionary Algorithms Based on Decomposition and Indicator Functions: State-of-the-art Survey
In the last two decades, multiobjective optimization has become mainstream because of its wide applicability in a variety of areas such engineering, management, the military and other fields. Multi-Objective Evolutionary...
Expensive Optimisation: A Metaheuristics Perspective
Stochastic, iterative search methods such as Evolutionary Algorithms (EAs) are proven to be efficient optimizers. However, they require evaluation of the candidate solutions which may be prohibitively expensive in many r...