Acta Photonica Sinica, Volume. 52, Issue 4, 0410004(2023)
Light Field All-in-focus Image Fusion Based on MDLatLRR and KPCA
[1] R NG, M LEVOY, M BREDIF et al. Light field photography with a hand-held plenoptic camera. Technical Report CTSR, 2(2005).
[2] J H PARK, S K LEE, N Y JO et al. Light ray field capture using focal plane sweeping and its optical reconstruction using 3D displays. Optics Express, 22, 25444-25454(2014).
[3] L A YU, W A LEI, A JC et al. Multi-focus image fusion: a survey of the state of the art. Information Fusion, 64, 71-91(2020).
[4] Y WU, Y WANG, J LIANG et al. Light field all-in-focus image fusion based on spatially-guided angular information. Journal of Visual Communication and Image Representation, 72, 102878(2020).
[5] Yinxian XIE, Yingchun WU, Yumei WANG et al. Light field all-in-focus image fusion based on wavelet domain definition evaluation. Journal of Beijing University of Aeronautics and Astronautics, 45, 1848-1854(2019).
[6] Boni SU. Light field all-in-focus image generation method based on gradient domain. Journal of Southwest University (Natural Science), 42, 174-182(2020).
[7] X BAI, M LIU, Z CHEN et al. Multi-focus image fusion through gradient-based decision map construction and mathematical morphology. IEEE Access, 4, 4749-4760(2016).
[8] J MA, Z ZHOU, B WANG et al. Infrared and visible image fusion based on visual saliency map and weighted least square optimization. Infrared Physics & Technology, 82, 8-17(2017).
[9] B SCHÖLKOPF, A SMOLA, K R MÜLLER. Nonlinear component analysis as a kernel eigenvalue problem. Neural Computation, 10, 1299-1319(1998).
[10] L J CAO, K S CHUA, W K CHONG et al. A comparison of PCA, KPCA and ICA for dimensionality reduction in support vector machine. Neurocomputing, 55, 321-336(2003).
[11] K HONAUER, O JOHANNSEN, D KONDERMANN et al. A dataset and evaluation methodology for depth estimation on 4D light fields, 19-34(2016).
[12] J MA, Z ZHOU, W BO et al. Multi-focus image fusion based on multi-scale focus measures and generalized random walk, 5464-5468(2017).
[13] C PANIGRAHY, A SEAL, N K MAHATO. Fractal dimension based parameter adaptive dual channel PCNN for multi-focus image fusion. Optics and Lasers in Engineering, 133, 106141(2020).
[14] Z A YU, L B YU, S C PENG et al. IFCNN: A general image fusion framework based on convolutional neural network. Information Fusion, 54, 99-118(2020).
[15] D P BAVIRISETTI, G XIAO, J ZHAO et al. Multi-scale guided image and video fusion: a fast and efficient approach. Circuits Systems and Signal Processing, 38, 5576-5605(2019).
[16] L YU, S LIU, Z WANG. A general framework for image fusion based on multi-scale transform and sparse representation. Information Fusion, 24, 147-164(2015).
[17] Y LIU, X CHEN, R K WARD et al. Image fusion with convolutional sparse representation. IEEE Signal Processing Letters, 23, 1882-1886(2016).
[18] A MOUSNIER, E VURAL, C GUILLEMOT. Partial light field tomographic reconstruction from a fixed-camera focal stack. arXiv preprint(2015).
[19] J MA, Y MA, C LI. Infrared and visible image fusion methods and applications: a survey. Information Fusion, 153-178(2019).
[20] N CVEJIC, A OZA, D BULL et al. A similarity metric for assessment of image fusion algorithms. International Journal of Signal Processing, 2, 178-182(2005).
[21] C YIN, R S BLUM. A new automated quality assessment algorithm for image fusion. Image & Vision Computing, 27, 1421-1432(2009).
[22] C HAO, P K VARSHNEY. A human perception inspired quality metric for image fusion based on regional information. Information Fusion, 8, 193-207(2007).
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Zefeng HUANG, Shen YANG, Huiping DENG, Qingson LI. Light Field All-in-focus Image Fusion Based on MDLatLRR and KPCA[J]. Acta Photonica Sinica, 2023, 52(4): 0410004
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Received: Jul. 21, 2022
Accepted: Aug. 30, 2022
Published Online: Jun. 21, 2023
The Author Email: YANG Shen (yangshen@wust.edu.cn)