Analysis of global spatial statistics features in existing contrast image quality assessment algorithm
Higher order statistics; Distorted images; Image quality assessment; Kurtosis and skewness; Lighting conditions; Linear correlation coefficient; No-reference image quality assessments; Spatial statistics; Uneven Contrast; Image quality
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Institute of Electrical and Electronics Engineers Inc.
2023
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my.uniten.dspace-245942023-05-29T15:24:52Z Analysis of global spatial statistics features in existing contrast image quality assessment algorithm Ahmed I.T. Der C.S. Jamil N. Hammad B.T. 57193324906 7410253413 36682671900 57193327622 Higher order statistics; Distorted images; Image quality assessment; Kurtosis and skewness; Lighting conditions; Linear correlation coefficient; No-reference image quality assessments; Spatial statistics; Uneven Contrast; Image quality Most of existing image quality assessment algorithms (IQAs) have been developed during the past decade. However, most of them are designed for images distorted by compression, noise and blurring. There are very few IQAs designed specifically for CDI, e.g. Contrast distortion may be caused by poor lighting condition and poor-quality image acquisition device. No Reference-Image Quality Assessment (NR-IQA) for Contrast-Distorted Images (NR-IQA-CDI) is one of these few IQAs. The five features used in NR-IQA-CDI are the global spatial statistics of an image including the mean, standard deviation, entropy, kurtosis and skewness. Unfortunately, the performance of NR-IQA-CDI are not encouraging in two of the three test image databases, TID2013 and CSIQ, where the Pearson Linear Correlation Coefficients are only around 0.57 and 0.76, respectively. Therefore, this paper presents the reason which led to poor results in existing NR-IQA-CDI. This paper also can address the problem of existing NR-IQA-CDI which the weakness of the global features in assessing images with uneven contrast. � 2019 IEEE. Final 2023-05-29T07:24:52Z 2023-05-29T07:24:52Z 2019 Conference Paper 10.1109/ICoICT.2019.8835319 2-s2.0-85073192228 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85073192228&doi=10.1109%2fICoICT.2019.8835319&partnerID=40&md5=04e0510d29bd9532e9906673b0d323ca https://irepository.uniten.edu.my/handle/123456789/24594 8835319 Institute of Electrical and Electronics Engineers Inc. Scopus |
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Higher order statistics; Distorted images; Image quality assessment; Kurtosis and skewness; Lighting conditions; Linear correlation coefficient; No-reference image quality assessments; Spatial statistics; Uneven Contrast; Image quality |
| author2 |
57193324906 |
| author_facet |
57193324906 Ahmed I.T. Der C.S. Jamil N. Hammad B.T. |
| format |
Conference Paper |
| author |
Ahmed I.T. Der C.S. Jamil N. Hammad B.T. |
| spellingShingle |
Ahmed I.T. Der C.S. Jamil N. Hammad B.T. Analysis of global spatial statistics features in existing contrast image quality assessment algorithm |
| author_sort |
Ahmed I.T. |
| title |
Analysis of global spatial statistics features in existing contrast image quality assessment algorithm |
| title_short |
Analysis of global spatial statistics features in existing contrast image quality assessment algorithm |
| title_full |
Analysis of global spatial statistics features in existing contrast image quality assessment algorithm |
| title_fullStr |
Analysis of global spatial statistics features in existing contrast image quality assessment algorithm |
| title_full_unstemmed |
Analysis of global spatial statistics features in existing contrast image quality assessment algorithm |
| title_sort |
analysis of global spatial statistics features in existing contrast image quality assessment algorithm |
| publisher |
Institute of Electrical and Electronics Engineers Inc. |
| publishDate |
2023 |
| _version_ |
1806427960540921856 |
| score |
13.214268 |