Image quality assessment benchmarking
Since the human visual system (HVS) is the ultimate receiver and appreciator of most images that we handled, appropriate perceptual image quality evaluation models have been developed and applied to various image-related tasks during the past decade. In this project, we study some of the existing...
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sg-ntu-dr.10356-519902023-03-03T20:52:47Z Image quality assessment benchmarking Raju, Reenu Lin Weisi School of Computer Engineering DRNTU::Engineering Since the human visual system (HVS) is the ultimate receiver and appreciator of most images that we handled, appropriate perceptual image quality evaluation models have been developed and applied to various image-related tasks during the past decade. In this project, we study some of the existing No Reference Image Quality assessment (NR-IQA) models and the performance of the respective techniques is analyzed and compared to some other existing models. Benchmarking the state-of-the-art technology is then made in the related area in order to provide the insight for effective deployment. Bachelor of Engineering (Computer Engineering) 2013-04-19T02:36:00Z 2013-04-19T02:36:00Z 2013 2013 Final Year Project (FYP) http://hdl.handle.net/10356/51990 en Nanyang Technological University 40 p. application/pdf |
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DRNTU::Engineering Raju, Reenu Image quality assessment benchmarking |
| description |
Since the human visual system (HVS) is the ultimate receiver and appreciator of most images that we handled, appropriate perceptual image quality evaluation models have been developed and applied to various image-related tasks during the past decade.
In this project, we study some of the existing No Reference Image Quality assessment (NR-IQA) models and the performance of the respective techniques is analyzed and compared to some other existing models. Benchmarking the state-of-the-art technology is then made in the related area in order to provide the insight for effective deployment. |
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Lin Weisi |
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Lin Weisi Raju, Reenu |
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Final Year Project |
| author |
Raju, Reenu |
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Raju, Reenu |
| title |
Image quality assessment benchmarking |
| title_short |
Image quality assessment benchmarking |
| title_full |
Image quality assessment benchmarking |
| title_fullStr |
Image quality assessment benchmarking |
| title_full_unstemmed |
Image quality assessment benchmarking |
| title_sort |
image quality assessment benchmarking |
| publishDate |
2013 |
| url |
http://hdl.handle.net/10356/51990 |
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1759854891916853248 |