Impact of contrast-distorted image on curvelet coefficients
Discrete cosine transforms; Image quality; Blocking artifacts; Curvelet Coefficients; Curvelet transforms; Distorted images; Fast fading; High frequency components; Image distortions; Potential features; Image compression
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Institute of Electrical and Electronics Engineers Inc.
2023
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my.uniten.dspace-247852023-05-29T15:27:01Z Impact of contrast-distorted image on curvelet coefficients Ahmed I.T.A. Chen C.S.D. Hammad B.T.H. 57193324906 7410253413 57193327622 Discrete cosine transforms; Image quality; Blocking artifacts; Curvelet Coefficients; Curvelet transforms; Distorted images; Fast fading; High frequency components; Image distortions; Potential features; Image compression Image quality (IQ) can be degraded due to various types of distortion such as noise, blurring, fast fading (FF), blocking artifacts and contrast distortion. These distortions may occur during operations such as acquisition, compression, storage, transmission, display and post-processing. Contrast distortion is one of the most common types of distortion. Contrast-distorted image (CDI) is defined as image with low dynamic range of brightness. Most of existing works that used discrete curvelet transform (DCT) are focused on image distortions such as blur, noise, and compression which often affect the high frequency components of an image. Therefore, this paper will study and investigate the application of curvelet transform for CDI. The distributions of curvelet coefficients at different scales have been found to be effective in characterizing good contrast image and contrast-distorted image. The distributions of curvelet coefficients at the coarsest and finest scales can be used to derive potential features in characterizing good contrast images and also contrast-distorted images. � 2018 IEEE. Final 2023-05-29T07:27:01Z 2023-05-29T07:27:01Z 2019 Conference Paper 10.1109/AiCIS.2018.00018 2-s2.0-85063096738 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85063096738&doi=10.1109%2fAiCIS.2018.00018&partnerID=40&md5=ef8adbc35ec22d59615094f10df9cff2 https://irepository.uniten.edu.my/handle/123456789/24785 8640939 28 32 Institute of Electrical and Electronics Engineers Inc. Scopus |
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| description |
Discrete cosine transforms; Image quality; Blocking artifacts; Curvelet Coefficients; Curvelet transforms; Distorted images; Fast fading; High frequency components; Image distortions; Potential features; Image compression |
| author2 |
57193324906 |
| author_facet |
57193324906 Ahmed I.T.A. Chen C.S.D. Hammad B.T.H. |
| format |
Conference Paper |
| author |
Ahmed I.T.A. Chen C.S.D. Hammad B.T.H. |
| spellingShingle |
Ahmed I.T.A. Chen C.S.D. Hammad B.T.H. Impact of contrast-distorted image on curvelet coefficients |
| author_sort |
Ahmed I.T.A. |
| title |
Impact of contrast-distorted image on curvelet coefficients |
| title_short |
Impact of contrast-distorted image on curvelet coefficients |
| title_full |
Impact of contrast-distorted image on curvelet coefficients |
| title_fullStr |
Impact of contrast-distorted image on curvelet coefficients |
| title_full_unstemmed |
Impact of contrast-distorted image on curvelet coefficients |
| title_sort |
impact of contrast-distorted image on curvelet coefficients |
| publisher |
Institute of Electrical and Electronics Engineers Inc. |
| publishDate |
2023 |
| _version_ |
1806424349002956800 |
| score |
13.214268 |