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Titlebook: Visual Quality Assessment for Natural and Medical Image; Yong Ding Book 2018 Zhejiang University Press, Hangzhou and Springer-Verlag GmbH

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21#
發(fā)表于 2025-3-25 07:20:26 | 只看該作者
https://doi.org/10.1007/978-3-662-56497-4Computational Vision; Human Visual System; Image Quality Assessment; Information Processing; Perceptual
22#
發(fā)表于 2025-3-25 11:09:04 | 只看該作者
23#
發(fā)表于 2025-3-25 15:15:33 | 只看該作者
Challenge Issues and Future Work,een shifted to some novel problems that are not regarded as serious before, e.g., the application scenarios, the computational efficiency. In this chapter, we try our best to list the new and old issues that are deemed most challenging, as well as give some expectations for the nearer and further future.
24#
發(fā)表于 2025-3-25 17:43:05 | 只看該作者
General Framework of Image Quality Assessment,hine learning at the very least. In this chapter, we attempt to introduce the general frameworks that modern IQA methods adopt, explain the specific flow of the methods step-by-step, during which major knowledge about the design and evaluation of the methods would be concerned.
25#
發(fā)表于 2025-3-25 22:20:46 | 只看該作者
26#
發(fā)表于 2025-3-26 00:12:29 | 只看該作者
Subjective Ratings and Image Quality Databases, have been constructed following rigorous experimental setups and flows. Such databases provide subjective experimental results for collected distorted images that can well guide objective study. In this chapter, the general framework of subjective IQA study and the information about several representative IQA databases are introduced.
27#
發(fā)表于 2025-3-26 04:42:45 | 只看該作者
28#
發(fā)表于 2025-3-26 11:00:04 | 只看該作者
human visual system properties and natural scene statistics.Image quality assessment (IQA) is an essential technique in the design of modern, large-scale image and video processing systems. This book introduces and discusses in detail topics related to IQA, including the basic principles of subject
29#
發(fā)表于 2025-3-26 14:05:44 | 只看該作者
30#
發(fā)表于 2025-3-26 19:53:23 | 只看該作者
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