Haijun Wang, Tao Jin, Ke Neimule Men. Application of FA-LMBP Hybird Neural Network Algorithm in Image Compression[J]. Laser & Optoelectronics Progress, 2019, 56(19): 191005
- Laser & Optoelectronics Progress
- Vol. 56, Issue 19, 191005 (2019)
Fig. 1. Basic BP algorithm training curve
Fig. 2. LMBP algorithm training curve
Fig. 3. FA-LMBP algorithm flow
Fig. 4. Data matrix of 128 pixel×128 pixel Lena original image
Fig. 5. Normalized partial sample matrix
Fig. 6. BP model structure used in compression model
Fig. 7. Comparison of decompression and reconstruction effects of different BP algorithms for Lena training images when K=2. (a) Original image; (b) BP reconstruction image; (c) LMBP reconstruction image; (d) FA-LMBP reconstruction image
Fig. 8. Comparison of decompression and reconstruction effects of different BP algorithms for Cameraman testing images when K=2. (a) Original image; (b) BP reconstruction image; (c) LMBP reconstruction image; (d) FA-LMBP reconstruction image
Fig. 9. Comparison of decompression and reconstruction effects of different BP algorithms for Brain testing images when K=2. (a) Original image; (b) BP reconstruction image; (c) LMBP reconstruction image; (d) FA-LMBP reconstruction image
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Table 1. Reconstruction image evaluation of compression models based on different algorithms when K=2
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Table 2. Reconstruction image evaluation of compression models based on different algorithms when K=4
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