• Acta Optica Sinica
  • Vol. 37, Issue 9, 0910002 (2017)
Yu Shen, Jianwu Dang*, Yangping Wang, and Bowei Wang
Author Affiliations
  • School of Electronic and Information Engineering, Lanzhou Jiaotong University, Lanzhou, Gansu 730070, China
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    DOI: 10.3788/AOS201737.0910002 Cite this Article Set citation alerts
    Yu Shen, Jianwu Dang, Yangping Wang, Bowei Wang. A Color Underwater Image Clearness Algorithm Based on Tetrolet Transform[J]. Acta Optica Sinica, 2017, 37(9): 0910002 Copy Citation Text show less
    Flow chart of the proposed algorithm
    Fig. 1. Flow chart of the proposed algorithm
    Maping underwater color image to lαβ three channels. (a) Original image; (b) l channel; (c) α channel; (d) β channel
    Fig. 2. Maping underwater color image to lαβ three channels. (a) Original image; (b) l channel; (c) α channel; (d) β channel
    Five basic tetrominoes
    Fig. 3. Five basic tetrominoes
    Structure diagram of Tetrolet transformation
    Fig. 4. Structure diagram of Tetrolet transformation
    Comparison of high-frequency details. (a) Tetrolet transform; (b) improved Tetrolet transform
    Fig. 5. Comparison of high-frequency details. (a) Tetrolet transform; (b) improved Tetrolet transform
    Effects on image edge of bilateral filtering. (a) Image region with noises; (b) value domain filtering; (c) bilateral filtering; (d) spatial domain filtering; e) filtering combination of spatial domain and value domain
    Fig. 6. Effects on image edge of bilateral filtering. (a) Image region with noises; (b) value domain filtering; (c) bilateral filtering; (d) spatial domain filtering; e) filtering combination of spatial domain and value domain
    Images before and after Tetrolet processing. (a) Original images; (b) after Tetrolet processing
    Fig. 7. Images before and after Tetrolet processing. (a) Original images; (b) after Tetrolet processing
    Comparison of experiment results. (a) Original images; (b) Retinex method; (c) three-channel method; (d) proposed method
    Fig. 8. Comparison of experiment results. (a) Original images; (b) Retinex method; (c) three-channel method; (d) proposed method
    Image1SDAvGKPSNR
    Original image21.94783.244611.4797
    Retinex method59.30208.787811.724518.7463
    Three-channel method64.989210.536711.010022.0152
    Proposed method69.126014.052310.748940.9846
    Table 1. Quantitative results comparison of three methods in Image1
    Image2SDAvGKPSNR
    Original image37.43333.078922.7547
    Retinex method67.73735.671523.009124.4258
    Three-channel method70.84376.383320.788931.5185
    Proposed method75.879616.164217.599843.8117
    Table 2. Quantitative results comparison of three methods in Image2
    Image3SDAvGKPSNR
    Original image22.18214.523133.9549
    Retinex method60.028412.188233.159813.8773
    Three-channel method64.787915.730832.091227.8534
    Proposed method68.663015.929126.913539.2829
    Table 3. Quantitative results comparison of three methods in Image3
    Image4SDAvGKPSNR
    Original image30.31213.555412.9045
    Retinex method58.03906.808113.166319.6965
    Three-channel method70.86719.274413.092139.1319
    Proposed method73.371216.348413.654841.8504
    Table 4. Quantitative results comparison of three methods in Image4
    Image5SDAvGKPSNR
    Original image35.27301.821813.2963
    Retinex method63.56053.416513.540620.0278
    Three-channel method74.85184.420112.194832.1510
    Proposed method55.704115.960913.299041.4206
    Table 5. Quantitative results comparison of three methods in Image5
    Image6SDAvGKPSNR
    Original image41.37505.025715.0149
    Retinex method74.26539.096714.645916.4409
    Three-channel method74.87399.573913.568331.4975
    Proposed method66.964920.897211.586842.6501
    Table 6. Quantitative results comparison of three methods in Image6
    Image7SDAvGKPSNR
    Original image34.27294.912210.0089
    Retinex method63.39749.287010.049311.7240
    Three-channel method74.853411.18969.406236.0456
    Proposed method72.899418.30519.347438.6173
    Table 7. Quantitative results comparison of three methods in Image7
    Image8SDAvGKPSNR
    Original image23.21334.912210.0089
    Retinex method55.706413.29759.193418.8354
    Three-channel method74.751717.69596.726140.1223
    Proposed method59.886515.76956.575144.0395
    Table 8. Quantitative results comparison of three methods in Image8
    Yu Shen, Jianwu Dang, Yangping Wang, Bowei Wang. A Color Underwater Image Clearness Algorithm Based on Tetrolet Transform[J]. Acta Optica Sinica, 2017, 37(9): 0910002
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