An overview of the fundamental approaches that yield several image denoising techniques
| Autor: | Wan Zuki Azman Wan Muhamad, Ahmad Kadri Junoh, Mohd Yusoff Mashor, Najah Ghazali, Zainab Yahya, Bilal Charmouti, Mahyun Ab Wahab, Abdesselam Beroual |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
noise
image denoising business.industry Image quality Computer science Image processing Machine learning computer.software_genre denoising methods Fuzzy logic Field (computer science) image processing Image (mathematics) Noise Digital image digital image Wavelet Artificial intelligence Electrical and Electronic Engineering business computer |
| Zdroj: | TELKOMNIKA (Telecommunication Computing Electronics and Control). 17:2959 |
| ISSN: | 2302-9293 1693-6930 |
| DOI: | 10.12928/telkomnika.v17i6.11301 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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