Combination of SSIM and JND with Content-Transition Classification for Image Quality Assessment
碩士 === 國立臺灣大學 === 電子工程學研究所 === 102 === Image quality assessment (IQA) is a crucial feature of many image processing algorithms. The state-of-the-art IQA index, the structural similarity (SSIM) index, has been able to accurately predict image quality by assuming that the human visual system (HVS) sep...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | en_US |
| Published: |
2014
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| Online Access: | http://ndltd.ncl.edu.tw/handle/85776304684048586767 |