GDL

Journal from gdlhub / 2020-01-09 10:39:37
Oleh : Bilal Charmouti, Ahmad Kadri Junoh, Mohd Yusoff Mashor, Najah Ghazali, Mahyun Ab Wahab, Wan Zuki Azman Wan Muhamad, Abdesselam Beroual, Telkomnika
Dibuat : 2020-01-09, dengan 1 file

Keyword : denoising methods, digital image, image denoising, image processing, noise
Url : http://journal.uad.ac.id/index.php/TELKOMNIKA/article/view/11301/pdf_1293
Sumber pengambilan dokumen : web

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.

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