Opto-Electronic Engineering, Volume. 52, Issue 1, 240264(2025)

Smartphone image quality assessment method based on Swin-AK Transformer

Guopeng Hou, Wu Dong*, Likun Lu, Ziyi Zhou, Qian Ma, Zhen Bai, and Shenghui Zheng
Author Affiliations
  • Beijing Key Laboratory of Signal and Information Processing for High-end Printing Equipment, Beijing Institute of Graphic Communication, Beijing 102600, China
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    References(35)

    [1] Yan J B, Fang Y M, Liu X L. The review of distortion-related image quality assessment[J]. J Image Graphics, 27, 1430-1466(2022).

    [3] Varga D. No-reference image quality assessment using the statistics of global and local image features[J]. Electronics, 12, 1615(2023).

    [5] Shao X, Liu M Q, Li Z H et al. CPDINet: blind image quality assessment via a content perception and distortion inference network[J]. IET Image Processing, 16, 1973-1987(2022).

    [12] Wang B, Bai Y Q, Zhu Z J et al. No-reference light field image quality assessment based on joint spatial-angular information[J]. Opto-Electron Eng, 51, 240139(2024).

    [14] Liu J, Tang J L, Lin B et al. Rust spot image recognition of coatings based on HSV and shape feature[J]. China Surf Eng, 36, 217-228(2023).

    [15] Liu Q G, Liu P, Wang Y H et al. Semi-parametric decolorization with Laplacian-based perceptual quality metric[J]. IEEE Trans Circuits Syst Video Technol, 27, 1856-1868(2017).

    [16] Ma C H, Hu W H, Zhong H C et al. SAR image structure optimization method using Sobel operator fusion[J]. J Detect Control, 46, 119-124(2024).

    [17] Luo X Y, Hu Z, Tang W C et al. Species identification of ore particles combined with Fourier and LBP descriptors[J]. Transducer Microsyst Technol, 42, 147-150(2023).

    [19] Wang G P, Li X, Jia X F et al. STransMNet: a stereo matching method with Swin Transformer fusion[J]. Opto-Electron Eng, 50, 220246(2023).

    [20] Ghadiyaram D, Bovik A C. Massive online crowdsourced study of subjective and objective picture quality[J]. IEEE Trans Image Process, 25, 372-387(2016).

    [21] Saad M A, Bovik A C, Charrier C. Blind image quality assessment: a natural scene statistics approach in the DCT domain[J]. IEEE Trans Image Process, 21, 3339-3352(2012).

    [22] Moorthy A K, Bovik A C. Blind image quality assessment: from natural scene statistics to perceptual quality[J]. IEEE Trans Image Process, 20, 3350-3364(2011).

    [23] Mittal A, Moorthy A K, Bovik A C. No-reference image quality assessment in the spatial domain[J]. IEEE Trans Image Process, 21, 4695-4708(2012).

    [25] Zhang L, Zhang L, Bovik A C. A feature-enriched completely blind image quality evaluator[J]. IEEE Trans Image Process, 24, 2579-2591(2015).

    [26] Xu J T, Ye P, Li Q H et al. Blind image quality assessment based on high order statistics aggregation[J]. IEEE Trans Image Process, 25, 4444-4457(2016).

    [27] Bosse S, Maniry D, Müller K R et al. Deep neural networks for no-reference and full-reference image quality assessment[J]. IEEE Trans Image Process, 27, 206-219(2018).

    [28] Yan Q S, Gong D, Zhang Y N. Two-stream convolutional networks for blind image quality assessment[J]. IEEE Trans Image Process, 28, 2200-2211(2019).

    [30] Zhang W X, Ma K D, Yan J et al. Blind image quality assessment using a deep bilinear convolutional neural network[J]. IEEE Trans Circuits Syst Video Technol, 30, 36-47(2020).

    [32] Wu J J, Ma J P, Liang F H et al. End-to-end blind image quality prediction with cascaded deep neural network[J]. IEEE Trans Image Process, 29, 7414-7426(2020).

    [33] Pan Z Q, Zhang H, Lei J J et al. DACNN: Blind image quality assessment via a distortion-aware convolutional neural network[J]. IEEE Trans Circuits Syst Video Technol, 32, 7518-7531(2022).

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    Guopeng Hou, Wu Dong, Likun Lu, Ziyi Zhou, Qian Ma, Zhen Bai, Shenghui Zheng. Smartphone image quality assessment method based on Swin-AK Transformer[J]. Opto-Electronic Engineering, 2025, 52(1): 240264

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    Paper Information

    Category: Article

    Received: Nov. 11, 2024

    Accepted: Dec. 23, 2024

    Published Online: Feb. 21, 2025

    The Author Email: Wu Dong (董武)

    DOI:10.12086/oee.2025.240264

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