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 123
- Downloads 0
Automation of Optimized Gabor Filter Parameter Selection for Road Cracks Detection
Automated systems for road crack detection are extremely important in road maintenance for vehicle safety and traveler’s comfort. Emerging cracks in roads need to be detected and accordingly repaired as early as possible...
InstDroid: A Light Weight Instant Malware Detector for Android Operating Systems
With the increasing popularity of Android operating system, its security concerns have also been raised to a new horizon in past few years. Different researchers have introduced different approaches in order to mitigate...
A Machine Learning Tool for Weighted Regressions in Time, Discharge, and Season
A new machine learning tool has been developed to classify water stations with similar water quality trends. The tool is based on the statistical method, Weighted Regressions in Time, Discharge, and Season (WRTDS), devel...
Dependency Test: Portraying Pearson's Correlation Coefficient Targeting Activities in Project Scheduling
In this paper, we discuss project scheduling with conflicting activity-resources. Several project activities require same resources but, may be scheduled with the certain lapse of time resulting in repeatedly using the s...
Modified Random Forest Approach for Resource Allocation in 5G Network
According to annual visual network index (VNI) report by the year 2020, 4G will reach its maturity and incremental approach will not meet demand. Only way is to switch to newer generation of mobile technology called as 5...