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Multiobjective Imag...
Multiobjective Image Compression based on Tensor Decomposition
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- Cao, Bin (författare)
- Hebei Univ Technol, Tianjin, Peoples R China.
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- Yang, Xingyi (författare)
- Hebei Univ Technol, Tianjin, Peoples R China.
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- Li, Ziming (författare)
- Hebei Univ Technol, Tianjin, Peoples R China.
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- Fu, Yunjian (författare)
- Hebei Univ Technol, Tianjin, Peoples R China.
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- Lv, Zhihan, Dr. 1984- (författare)
- Uppsala universitet,Institutionen för speldesign
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Hebei Univ Technol, Tianjin, Peoples R China Institutionen för speldesign (creator_code:org_t)
- IEEE, 2023
- 2023
- Engelska.
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Ingår i: 2023 8th International Conference on Cloud Computing and Big Data Analytics, ICCCBDA. - : IEEE. - 9781665455336 - 9781665455343 ; , s. 545-550
- Relaterad länk:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- Most of the traditional image compression methods vectorize the data contained in the image and then compress it. However, this approach does not take into account the high-dimensional information inside the image. To solve this problem, this paper regards the color image as a third-order tensor, and proposes a method of color image compression based on Tucker decomposition and multiobjective optimization. The tensor size compression ratio and Hu invariant moment similarity are proposed to measure the image compression quality. And to more comprehensively consider the sensitivity of human visual system to different visual signals, the five-objective optimization model of image compression is constructed. The five-objective optimization model includes: the above two indexes, information content weighted structure similarity index, color image feature similarity and information fidelity criterion. In addition, an angle-aware opposition-based learning strategy is proposed to improve the reference vector guided selection strategy of RVEA*. In the experiments, this method could effectively solve the problem of color image compression.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Signalbehandling (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Signal Processing (hsv//eng)
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datorseende och robotik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Vision and Robotics (hsv//eng)
Nyckelord
- multiobjective optimization
- Tucker decomposition
- image compression
- Hu invariant moment
- opposition-based learning
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)
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