Optics and Precision Engineering, Volume. 32, Issue 19, 2971(2024)

Degradation remote sensing image quality enhancement based on frequency-domain-spatial-domain hybrid attention

Hua WEI1... Xiongxin TANG1, Haitao NIE2,*, Jing WANG1, Hanxiang YANG1, Yuanyuan XIA1 and Fanjiang XU1 |Show fewer author(s)
Author Affiliations
  • 1Laboratory of Science and Technology on Integrated Information System, Institute of Software, Chinese Academy of Sciences, Beijing0090, China
  • 2Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun130033, China
  • show less
    References(43)

    [1] Y YANG, ZH SU, SH Y HUANG et al. Deep-learning approaches for pixel-level pansharpening. National Remote Sensing Bulletin, 26, 2411-2432(2022).

         杨勇, 苏昭, 黄淑英. 基于深度学习的像素级全色图像锐化研究综述. 遥感学报, 26, 2411-2432(2022).

    [2] 黄泽贤, 吴凡路, 傅瑶. 基于深度学习的遥感图像舰船目标检测算法综述. 光学 精密工程, 31, 2295-2318(2023).

         Z X HUANG, F L WU, Y FU et al. Review of deep learning-based algorithms for ship target detection from remote sensing images. Optics and Precision Engineering, 31, 2295-2318(2023).

    [3] 何直蒙, 丁海勇, 安炳琪. 高分辨率遥感影像建筑物提取的空洞卷积E-Unet算法. 测绘学报, 51, 457-467(2022).

         Z M HE, H Y DING, B Q AN. E-Unet: a atrous convolution-based neural network for building extraction from high-resolution remote sensing images. Acta Geodaetica et Cartographica Sinica, 51, 457-467(2022).

    [4] 丁元, 邬开俊. 基于RGB色彩平衡方法的沙尘降质图像增强. 光学 精密工程, 31, 1053-1064(2023).

         Y DING, K J WU. Sand-dust image enhancement using RGB color balance method. Optics and Precision Engineering, 31, 1053-1064(2023).

    [5] J WU, W J SONG, C X GUO et al. Image dehazing based on polarization optimization and atmosphere light correction. Optics and Precision Engineering, 31, 1827-1840(2023).

         吴靖, 宋文杰, 郭翠霞. 基于偏振度优化与大气光校正的图像去雾. 光学 精密工程, 31, 1827-1840(2023).

    [6] F CHENG. Image deblurring study for spaceborne optical remote sensing using estimated point spread function. Aerospace Shanghai, 33, 105-112(2016).

         成飞. 基于预估点扩展函数的光学遥感图像去模糊研究. 上海航天, 33, 105-112(2016).

    [7] 王桥. 数字图像处理(2009).

         Q WANG. Digital Image Processing(2009).

    [8] 赵占平, 付兴科, 黄巧林. 基于刃边法的航天光学遥感器在轨MTF测试研究. 航天返回与遥感, 30, 37-43(2009).

         ZH P ZHAO, X K FU, Q L HUANG et al. On orbit MTF test research of remote sensors based on knife-edge method. Spacecraft Recovery & Remote Sensing, 30, 37-43(2009).

    [9] 李铁成, 陶小平, 冯华君. 基于倾斜刃边法的调制传递函数计算及图像复原. 光学学报, 30, 2891-2897(2010).

         T CH LI, X P TAO, H J FENG et al. Modulation transfer function calculation and image restoration based on slanted-edge method. Acta Optica Sinica, 30, 2891-2897(2010).

    [10] 朱近, 潘瑜, 徐涛. 基于弯曲刃边的中低分辨率遥感影像MTF计算方法. 遥感信息, 24, 3-6(2009).

         J ZHU, Y PAN, T XU et al. The algorithm for computing MTF of remote sensing image in mid-low spatial resolution and with curve edge. Remote Sensing Information, 24, 3-6(2009).

    [11] J S PAN, D Q SUN, H PFISTER et al. Blind image deblurring using dark channel prior, 27, 1628-1636(2016).

    [12] L CHEN, F M FANG, T T WANG et al. Blind image deblurring with local maximum gradient prior, 15, 1742-1750(2019).

    [13] J S PAN, Z C LIN, Z X SU et al. Robust kernel estimation with outliers handling for image deblurring, 27, 2800-2808(2016).

    [14] L CHEN, F M FANG, J W ZHANG et al. OID Outlier Identifying and Discarding in Blind Image Deblurring. Lecture Notes in Computer Science, 598-613(2020).

    [15] S Q CHEN, H J FENG, K M GAO et al. Extreme-quality computational imaging via degradation framework, 10, 2632-2641(2021).

    [16] C M CHIANG, Y TSENG, Y S XU et al. Deploying image deblurring across mobile devices: a perspective of quality and latency, 14, 502-503(2020).

    [17] Y N CUI, W Q REN, X C CAO et al. Focal network for image restoration, 1, 13001-13011(2023).

    [18] S J CHO, S W JI, J P HONG et al. Rethinking coarse-to-fine approach in single image deblurring, 10, 4641-4650(2021).

    [19] A MEHRI, P B ARDAKANI, A D SAPPA. MPRNet: multi-path residual network for lightweight image super resolution, 3, 2704-2713(2021).

    [20] X MAO, Y LIU, W SHEN et al. Deep residual fourier transformation for single image deblurring. arXiv e-prints:2111.11745, 2, 5(2021).

    [22] Z D WANG, X D CUN, J M BAO et al. Uformer: a general U-shaped transformer for image restoration, 18, 17683-17693(2022).

    [23] S W ZAMIR, A ARORA, S KHAN et al. Restormer: efficient transformer for high-resolution image restoration, 18, 5728-5739(2022).

    [24] J D SCHMIDT. Numerical Simulation of Optical Wave Propagation with Examples in MATLAB. SPIE(2010).

    [25] R J NOLL. Zernike polynomials and atmospheric turbulence. Journal of the Optical Society of America, 66, 207(1976).

    [26] J HU, L SHEN, G SUN. Squeeze-and-excitation networks, 18, 7132-7141(2018).

    [27] J PARK, J Y LEE et al. CBAM Convolutional Block Attention Module. Lecture Notes in Computer Science, 3-19(2018).

    [28] E AGUSTSSON, R TIMOFTE. NTIRE 2017 challenge on single image super-resolution: dataset and study, 21, 126-135(2017).

    [29] G S XIA, X BAI, J DING et al. DOTA: a large-scale dataset for object detection in aerial images, 18, 3974-3983(2018).

    [30] L ZHANG, L ZHANG, A C BOVIK. A feature-enriched completely blind image quality evaluator. IEEE Transactions on Image Processing, 24, 2579-2591(2015).

    [31] M CHANG, Q LI, H J FENG et al. Spatial-adaptive Network for Single Image Denoising. Lecture Notes in Computer Science, 171-187(2020).

    [32] D D HU, J Q TAN, L ZHANG et al. Image deblurring via enhanced local maximum intensity prior. Signal Processing: Image Communication, 96, 116311(2021).

    [33] V PRANAV, E VENKATESWARLU, T NAIR et al. Estimation of NIIRS incorporating an automated relative edge response method. International Journal of Image, Graphics and Signal Processing, 9, 29-38(2017).

    [34] A SINGH, A CHOUGULE, P NARANG et al. Low-light image enhancement for UAVs with multi-feature fusion deep neural networks. IEEE Geoscience and Remote Sensing Letters, 19, 3181106(2022).

    Tools

    Get Citation

    Copy Citation Text

    Hua WEI, Xiongxin TANG, Haitao NIE, Jing WANG, Hanxiang YANG, Yuanyuan XIA, Fanjiang XU. Degradation remote sensing image quality enhancement based on frequency-domain-spatial-domain hybrid attention[J]. Optics and Precision Engineering, 2024, 32(19): 2971

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category:

    Received: May. 8, 2024

    Accepted: --

    Published Online: Jan. 9, 2025

    The Author Email: NIE Haitao (kelek2@126.com)

    DOI:10.37188/OPE.20243219.2971

    Topics