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All Journal IJCCS (Indonesian Journal of Computing and Cybernetics Systems) SemanTIK : Teknik Informasi
Ika Purwanti Ningrum
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Computer Science & IT Control & Systems Engineering

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Penapisan Derau Gaussian, Speckle dan Salt&Pepper Pada Citra Warna Ika Purwanti Ningrum; Agfianto Eko Putra; Dian Nursantika
IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Vol 5, No 3 (2011): November
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijccs.5209

Abstract

Quality of digital image can decrease becouse some noises. Noise can come from lower quality of image recorder, disturb when transmission data process and weather. Noise filtering can make image better becouse will filtering that noise from the image and can improve quality of digital image. This research have aim to improve color image quality with filtering noise. Noise (Gaussian, Speckle, Salt&Pepper) will apply to original image, noise from image will filtering use Bilateral Filter method, Median Filter method and Average Filter method so can improve color image quality. To know how well this research do, we use PSNR (Peak Signal to Noise Ratio) criteria with compared original image and filtering image (image after using noise and filtering noise).This research result with noise filtering Gaussian (variance = 0.5), highest PSNR value found in the Bilateral Filter method is 27.69. Noise filtering Speckle (variance = 0.5), highest PSNR value found in the Average Filter method is 34.12. Noise filtering Salt&Pepper (variance = 0.5), highest PSNR value found in the Median Filter method is 31.27. Keywords— Bilateral Filter, image restoration, derau Gaussian, Speckle dan Salt&Pepper
PERBANDINGAN MOTHER WAVELET DALAM SISTEM TEMU KEMBALI INFORMASI KEMIRIPAN MOTIF KAIN TENUN SULAWESI TENGGARA Wa Ode Rizqanun Karyima Bolu; Muh. Ihsan Sarita; Ika Purwanti Ningrum
semanTIK Vol 5, No 1 (2019): semanTIK
Publisher : Informatics Engineering Department of Halu Oleo University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (986.563 KB) | DOI: 10.55679/semantik.v5i1.5309

Abstract

Information retrieval is a process, method, and procedure used to select relevant information and stored in a database. In libraries and archives, information retrieval is usually for known documents or for information about certain subjects. Information Retrieval System is used to rediscover information that is relevant to the needs of users of a collection of information automatically. Weaving motifs can be distinguished by the naked eye but not all people can distinguish motifs from each type of woven fabric due to the difficulty in defining the characteristics of woven fabric motifs from an area and the variety of motifs and compositions of colors available. Based on the data and facts that have been mentioned, wavelet can be used for extracting texture features in the Information Retrieval System, but further research is nApplication of Mother Wavelet in Retrieval System Similarity Information on Southeast Sulawesi Woven Fabric Motives gives good results needed to compare the optimal mother wavelet for the system. and among 4 types of wavelets, Haar with decomposition level 7 is the best feature extraction method compared to Daubechies 4, Symlets 2 and Coiflets 1. This is evidenced by faster computing time and the best percentage of precision, which is 95%.Keywords— Mother Wavelet, Information Retrieval, Weaving. DOI : 10.5281/zenodo.2649780
Co-Authors Agfianto Eko Putra Dian Nursantika Muh. Ihsan Sarita Wa Ode Rizqanun Karyima Bolu