Image quality assessment (IQA) using high-frequency and image variance (HFIV) for colour image
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2020
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my.unimap-690272020-12-16T08:28:36Z Image quality assessment (IQA) using high-frequency and image variance (HFIV) for colour image Li Chien, Tan Haniza, Yazid Yen Fook, Chong LCtan94@gmail.com Image quality assessment (IQA) High-frequency and image variance (HFIV) Link to publisher's homepage at https://iopscience.iop.org/ Image quality is often lost during image acquisition, transmission, and compression. Therefore, image quality assessment (IQA) is crucial in image processing. Currently, image quality can be measured from the frequency domain features, but it only applicable to blurred grayscale images. Nevertheless, noise distortion is also a common problem in digital images, and colour also affects the perception of image quality. Therefore, this paper proposes an enhanced blur and noise specific colour image quality assessment that measures highfrequency components and image variance. The number of high-frequency components is related to the edge and noise. In order to distinguish the distortion of the image, the image variance estimation is included. Experiments on public databases have shown that this method outperforms PSNR and SSIM in terms of noise and blur distortion and has low processing time of 0.0941 s/img. 2020-12-16T08:28:36Z 2020-12-16T08:28:36Z 2019 Article Journal of Physics: Conference Series, vol.1372, 2019, 6 pages 1742-6588 (print) 1742-6596 (online) http://dspace.unimap.edu.my:80/xmlui/handle/123456789/69027 https://iopscience.iop.org/issue/1742-6596/1372/1 en International Conference on Biomedical Engineering (ICoBE); IOP Publishing |
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English |
| topic |
Image quality assessment (IQA) High-frequency and image variance (HFIV) |
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Image quality assessment (IQA) High-frequency and image variance (HFIV) Li Chien, Tan Haniza, Yazid Yen Fook, Chong Image quality assessment (IQA) using high-frequency and image variance (HFIV) for colour image |
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Link to publisher's homepage at https://iopscience.iop.org/ |
| author2 |
LCtan94@gmail.com |
| author_facet |
LCtan94@gmail.com Li Chien, Tan Haniza, Yazid Yen Fook, Chong |
| format |
Article |
| author |
Li Chien, Tan Haniza, Yazid Yen Fook, Chong |
| author_sort |
Li Chien, Tan |
| title |
Image quality assessment (IQA) using high-frequency and image variance (HFIV) for colour image |
| title_short |
Image quality assessment (IQA) using high-frequency and image variance (HFIV) for colour image |
| title_full |
Image quality assessment (IQA) using high-frequency and image variance (HFIV) for colour image |
| title_fullStr |
Image quality assessment (IQA) using high-frequency and image variance (HFIV) for colour image |
| title_full_unstemmed |
Image quality assessment (IQA) using high-frequency and image variance (HFIV) for colour image |
| title_sort |
image quality assessment (iqa) using high-frequency and image variance (hfiv) for colour image |
| publisher |
IOP Publishing |
| publishDate |
2020 |
| url |
http://dspace.unimap.edu.my:80/xmlui/handle/123456789/69027 |
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1698698545674059776 |
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13.214268 |