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All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control) Indonesian Journal of Electrical Engineering and Computer Science
Mohd Yusoff Mashor
Universiti Malaysia Perlis (UniMAP)
Computer Science & IT

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Progression approach for image denoising Bilal Charmouti; Ahmad Kadri Junoh; Mohd Yusoff Mashor; Najah Ghazali; Mahyun Ab Wahab; Wan Zuki Azman Wan Muhamad; Zainab Yahya; Abdesselam Beroual
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 17, No 6: December 2019
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v17i6.12408

Abstract

Removing noise from the image by retaining the details and features of this treated image remains a standing challenge for the researchers in this field. Therefore, this study is carried out to propose and implement a new denoising technique for removing impulse noise from the digital image, using a new way. This technique permits the narrowing of the gap between the original and the restored images, visually and quantitatively by adopting the mathematical concept ''arithmetic progression''. Through this paper, this concept is integrated into the image denoising, due to its ability in modelling the variation of pixels’ intensity in the image. The principle of the proposed denoising technique relies on the precision, where it keeps the uncorrupted pixels by using effective noise detection and converts the corrupted pixels by replacing them with other closest pixels from the original image at lower cost and with more simplicity.
An overview of the fundamental approaches that yield several image denoising techniques Bilal Charmouti; Ahmad Kadri Junoh; Mohd Yusoff Mashor; Najah Ghazali; Mahyun Ab Wahab; Wan Zuki Azman Wan Muhamad; Zainab Yahya; Abdesselam Beroual
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 17, No 6: December 2019
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v17i6.11301

Abstract

Digital image is considered as a powerful tool to carry and transmit information between people. Thus, it attracts the attention of large number of researchers, among them those interested in preserving the image features from any factors that may reduce the image quality. One of these factors is the noise which affects the visual aspect of the image and makes others image processing more difficult. Thus far, solving this noise problem remains a challenge for the researchers in this field. A lot of image denoising techniques have been introduced in order to remove the noise by taking care of the image features; in other words, getting the best similarity to the original image from the noisy one. However, the findings are still inconclusive. Beside the enormous amount of researches and studies which adopt several mathematical concepts (statistics, probabilities, modeling, PDEs, wavelet, fuzzy logic, etc.), there is also the scarcity of review papers which carry an important role in the development and progress of research. Thus, this review paper intorduce an overview of the different fundamental approaches that yield the several image-denoising techniques, presented with a new classification. Furthermore, the paper presents the different evaluation tools needed on the comparison between these techniques in order to facilitate the processing of this noise problem, among a great diversity of techniques and concepts.
Portable heart valve disease screening device using electronic stethoscope Mohd Zubir Suboh; Muhyi Yaakop; Mohd Azlan Abu; Mohd Syazwan Md Yid; Aizat Faiz Ramli; Mohd Yusoff Mashor; Abdul Rahman Mohd Saad; Mohd Shaiful Aziz Rashid Ali
Indonesian Journal of Electrical Engineering and Computer Science Vol 15, No 1: July 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v15.i1.pp122-132

Abstract

Heart sound analysis has been a popular topic of studies since a few decades ago. Most of the studies are done in PC platform since embedding the complex algorithm into a simple small device such as microcontroller board seems to be very difficult due to limited processing speed and memory. This study classifies normal and abnormal heart sound signal from four categories of Heart Valve Disease. An automated system that consists of segmentation, feature extraction and classification of the heart sound signal is developed in PC and hardware platforms. A multimedia board completed with a single board computer, audio codec and graphic LCD is used to make a portable heart valve disease screening device with electronic stethoscope as the input for the system. Both system recorded 96.3% specificity. However, the portable device has only 77.78% sensitivity and 87.04% accuracy compared to PC platform that have sensitivity and accuracy of more than 90%.
Co-Authors Abdesselam Beroual Abdul Rahman Mohd Saad Ahmad Kadri Junoh Aizat Faiz Ramli Bilal Charmouti Mahyun Ab Wahab Mohd Azlan Abu Mohd Shaiful Aziz Rashid Ali Mohd Syazwan Md Yid Mohd Zubir Suboh Muhyi Yaakop Najah Ghazali Wan Zuki Azman Wan Muhamad Zainab Yahya