Image Enhancement Using Homomorphic Filtering and Adaptive Median Filtering for Balinese Papyrus (Lontar)

Arnawa, Ida Bagus Ketut Surya

doi:10.14569/ijacsa.2015.060833

Cited by 3 publications

(2 citation statements)

References 9 publications

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“…Mereka dapat memahami sejarah dan makna prasasti dan pelinggih dengan cara yang berbeda dan lebih mendalam [8]. 4) Kolaborasi Budaya dan Teknologi: Proyek ini menciptakan peluang kolaborasi antara komunitas lokal, pakar budaya, dan pengembang teknologi [9][10] [11]. Ini adalah contoh bagaimana teknologi dapat digunakan untuk memperkuat budaya dan sejarah lokal, serta menciptakan peluang bagi pemuda Bali untuk terlibat dalam proyekproyek yang relevan dengan kehidupan.…”

Section: Transformasiunclassified

Digitalisasi Prasasti dan Pelinggih Desa Baturan Gianyar Berbasis Augmented Reality Based Marker

Sarasvananda,

Aditama,

Iswara

et al. 2023

SINTECH Journal

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Digitalization of the inscriptions and shrines of Batuan Gianyar Village based on Augmented Reality (AR) Markers is an innovative project that aims to preserve, promote and revive the cultural and historical heritage of Baturan Village, Gianyar, Indonesia, through the application of Augmented Reality technology. Baturan Village is known to have inscriptions and pelinggih which have high historical value. This research uses AR Marker technology to connect the physical world with digital content. The inscriptions and shrines of Baturan Village are marked with AR markers which allow users to access additional information about these objects via mobile devices. This AR application provides an immersive and interactive experience, allowing users to explore the history and meaning of inscriptions and shrines. The method used in developing this AR application is R & D. The results of this research after testing loading time using four different smartphones, Xiaomi Note8 Pro and iPhone 13, have a faster average loading time response compared to other smartphones.

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Section: Transformasiunclassified

Digitalisasi Prasasti dan Pelinggih Desa Baturan Gianyar Berbasis Augmented Reality Based Marker

Sarasvananda,

Aditama,

Iswara

et al. 2023

SINTECH Journal

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“…A mask is a type of clean out that performs multiple operations at the same time on a photo (Niemeijer et al 2010). Clear out masks, also known as convolution masks, are an innovative image enhancing technique for boosting PSNR of liver images (Bagus 2015 Processing ultrasound photos in diagnosing the presence of liver in most cancers there are 4 stages; preprocessing data, picture segmentation, extraction functions, and classification. The preprocessing level is the primary and maximum vital step with inside the picture processing due to the fact the procedure of reconstructing a picture without doing away with vital functions need to be accomplished so that it will be used on the segmentation level ( 2009…”

Section: Introductionmentioning

confidence: 99%

Analysis and Comparison of Image Enhancement Techniques for Improving PSNR of Liver Images by Median Filtering over Mask Filtering

Prasad¹,

Ramadevi²

2023

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Aim: The goal of this research is to employ median filters and mask filters to reduce noise in liver images so that they can be improved. In addition, the Peak Signal to Noise Ratio of both filters’ outputs was examined (PSNR). Materials and Methods: The afflicted and normal liver photos were obtained from the Kaggle website for this investigation. Then, using Matlab software, the mask filtering and median filtering algorithms were run. Clinicalc. com was used to compute sample size, and SPSS software was used to conduct the comparative analysis. This study has two groups, each with a sample size of 20 people with an average G power of 80%. The innovative median filter’s performance is assessed, and the PSNR performance metric is compared to that of the mask filter. Results: The PSNR of innovative median filters is 64.0310, while mask filters have a PSNR of 78.0095, according to Matlab simulation data. The significant value of PSNR (Peak Signal to Noise Ratio) (0.409) and p>0.05 was found in the statistical analysis. Conclusion: The innovative median filter delivers greater PSNR than the mask filter for medical image enhancement on ultrasound liver pictures, according to this study.

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Homomorphic Filtering Approach for Eliminating Multiplicative Noise in a Monochromatic Based Images

Santos¹,

Abante²,

Balba

et al. 2021

2021 International Conference on Intelligent Technologies (CONIT)

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Image Enhancement Using Homomorphic Filtering and Adaptive Median Filtering for Balinese Papyrus (Lontar)

Cited by 3 publications

References 9 publications

Digitalisasi Prasasti dan Pelinggih Desa Baturan Gianyar Berbasis Augmented Reality Based Marker

Digitalisasi Prasasti dan Pelinggih Desa Baturan Gianyar Berbasis Augmented Reality Based Marker

Analysis and Comparison of Image Enhancement Techniques for Improving PSNR of Liver Images by Median Filtering over Mask Filtering

Homomorphic Filtering Approach for Eliminating Multiplicative Noise in a Monochromatic Based Images

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