Laser & Optoelectronics Progress, Volume. 61, Issue 2, 0211033(2024)

Comprehensive Review of Computational Imaging Techniques in Information Restoration and Enhancement (Invited)

Tianyue He1,†... Tingdong Kou1,†, Qican Zhang, Wenjing Chen and Junfei Shen* |Show fewer author(s)
Author Affiliations
  • College of Electronics and Information Engineering, Sichuan University, Chengdu 610065, Sichuan , China
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    Figures & Tables(20)
    Diagram of distributed codec computation imaging
    Comparison of imaging resolution between wavefront coding system and conventional system[13]
    Focus sweep computational imaging system for depth-of-field extension[14]
    Diagram of the end-to-end joint design method for a single lens[18]
    Optimized single lens and its imaging performance[19]. (a) Single lens; (b) source image; (c) reconstructed image
    Deep complex optical systems and their imaging effects[20]. (a) Optimized complex lenses; (b) imaging performance of commercial SONY camera; (c) imaging performance of end-to-end complex lenses design
    Cooperation of multi-spectral and multi-aperture for extended depth-of field imaging[22]
    Performance of depth-of-field extension of multi PSF encoding and decoding computational imaging[23]. (a)‒(d) Multi-focus raw images; (e) reconstructed image; (f) ground truth
    Overview of rotationally-symmetric-DOE-based broadband achromatic imaging model[27]
    Physical simulation imaging model based on coherent transmission model[28]. (a) Physical imaging model; (b) image post-processing process
    Hybrid diffractive optics design via hardware-in-the-loop methodology for achromatic imaging[29]
    Fusion of flash image and no-flash image for improving image quality[31]
    Deep red light compensation for enhancing low light imaging quality[41]
    Performance comparison between dot pattern flash and traditional uniform flash for remote low-light imaging[42]. (a) Traditional uniform flash; (b) dot pattern flash
    Flow chart of the end-to-end RAW domain denoising method[43]
    Performance comparison between the traditional ISP method and the multi-shot RAW images fusion enhancement method[44]
    Computational multispectral imaging system with scattering-aperture-dispersion encoding[53]
    Computational spectral imaging based on scatter and color filter[6]
    Spectrally rotational DOE PSF design for broadband hyperspectral imaging[54]
    DOE-CFA coding enabled single-shot hyperspectral imaging [55]
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    Tianyue He, Tingdong Kou, Qican Zhang, Wenjing Chen, Junfei Shen. Comprehensive Review of Computational Imaging Techniques in Information Restoration and Enhancement (Invited)[J]. Laser & Optoelectronics Progress, 2024, 61(2): 0211033

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    Paper Information

    Category: Imaging Systems

    Received: Nov. 19, 2023

    Accepted: Dec. 11, 2023

    Published Online: Feb. 6, 2024

    The Author Email: Junfei Shen (shenjunfei@scu.edu.cn)

    DOI:10.3788/LOP232525

    CSTR:32186.14.LOP232525

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