App. Res. of Comp. Accepted Paper
Vol. 44, 2027 No. 2

No-reference image quality assessment based on WTConv-Mamba-Transformer hybrid architecture and bidirectional interaction

Xiong Miaomei
Jia Huizhen
Wang Tonghan
School of Artificial Intelligence and Information Engineering, East China University of Technology, Nanchang 330013, China
DOI: 10.19734/j.issn.1001-3695.2026.05.0190

Abstract

A no-reference image quality assessment algorithm featuring a bidirectional interaction architecture addresses limited generalization and inefficient cross-scale feature interaction in diverse content and complex distortion scenarios. The algorithm consists of feature encoding, cross-scale interaction, and score prediction. A hybrid WTConv-Mamba-Transformer architecture fused wavelet convolution, state-space models, and self-attention mechanisms to model multi-scale features. For cross-scale interaction, a local importance pooling mechanism facilitated top-down feature exchange. Finally, spatial attention pooling mainly governed the implementation of score mapping. Experiments on the KonIQ-10k dataset showed that the Pearson Linear Correlation Coefficient (PLCC) reached 0.9542 on the internal test set. Generalization performance on external benchmarks, such as FLIVE, demonstrated a PLCC improvement of approximately 0.98%. The algorithm exhibits strong robustness and provides an efficient solution for image quality evaluation under complex distortions.

Foundation Support

国家自然科学基金资助项目(62266001,62261001)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2026.05.0190
Publish at: Application Research of Computers Accepted Paper, Vol. 44, 2027 No. 2

Publish History

[2026-10-24] Accepted Paper

Cite This Article

熊妙梅, 贾惠珍, 王同罕. 基于WTConv-Mamba-Transformer混合架构与双向交互的无参考图像质量评价 [J]. 计算机应用研究, 2027, 44 (2). (2026-10-24). https://doi.org/10.19734/j.issn.1001-3695.2026.05.0190. (Xiong Miaomei, Jia Huizhen, Wang Tonghan. No-reference image quality assessment based on WTConv-Mamba-Transformer hybrid architecture and bidirectional interaction [J]. Application Research of Computers, 2027, 44 (2). (2026-10-24). https://doi.org/10.19734/j.issn.1001-3695.2026.05.0190. )

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  • Application Research of Computers Monthly Journal
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Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

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