Laser & Optoelectronics Progress, Volume. 60, Issue 16, 1610002(2023)
Nonlinear Adaptive Enhancement Algorithm for Uneven Illumination Images
Figures & Tables(14)
Fig. 2. Images of illumination component. (a) (d) Original images; (b) (e) OTSU segmented images; (c) (f) images after mean segmentation
Fig. 4. One-dimensional brightness information curves of
Fig. 5. Comparison of various algorithms for scab. (a) Original images; (b) MSRCR algorithm; (c) algorithm of literature [22]; (d) CLAHE algorithm; (e) proposed algorithm
Fig. 6. Comparison of various algorithms for juniper glue rust. (a) Original images; (b) MSRCR algorithm; (c) algorithm of literature [22]; (d) CLAHE algorithm; (e) proposed algorithm
Fig. 7. Comparison of various algorithms for brown rot. (a) Original images; (b) MSRCR algorithm; (c) algorithm of literature [22]; (d) CLAHE algorithm; (e) proposed algorithm
Fig. 8. Grayscale surface diagrams of scab images. (a) (b) (c) Original images; (d) (e) (f) improved images of proposed algorithm
Fig. 9. Grayscale surface diagrams of juniper glue rust images. (a) (b) (c) Original images; (d) (e) (f) improved images of proposed algorithm
Fig. 10. Grayscale surface diagrams of brown rot images. (a) (b) (c) Original images; (d) (e) (f) improved images of proposed algorithm
Table 1. Objective evaluation of scab images
View tableTable 1. Objective evaluation of scab images
Image Parameter item Original MSRCR Algorithm of literature［22］ CLAHE Proposed algorithm Image 1 Mean gradient 0.4189 0.4079 0.4073 0.6008 0.6415 Information entropy 7.2038 6.8604 6.5240 7.4676 7.5787 SSIM 0.7265 0.7345 0.7152 0.7564 PSNR 11.1636 10.7885 15.8077 16.3187 Image 2 Mean gradient 0.3475 0.4644 0.4267 0.6544 0.6590 Information entropy 6.6590 6.5589 6.2966 7.1506 7.2551 SSIM 0.7779 0.8492 0.6224 0.6871 PSNR 10.4052 11.4142 16.8113 16.8656 Image 3 Mean gradient 0.2786 0.4912 0.4127 0.5648 0.5713 Information entropy 6.3486 7.3015 6.7357 7.1011 7.5818 SSIM 0.7960 0.8791 0.6802 0.8535 PSNR 9.2761 13.0945 16.1757 16.1757
Table 2. Objective evaluation of juniper glue rust images
View tableTable 2. Objective evaluation of juniper glue rust images
Image Parameter item Original MSRCR Algorithm of literature［22］ CLAHE Proposed algorithm Image 1 Mean gradient 0.2814 0.3150 0.4228 0.6158 0.6601 Information entropy 6.5300 6.7571 6.7568 7.2207 7.2627 SSIM 0.6223 0.8694 0.6692 0.7313 PSNR 11.2119 13.3410 16.6322 17.8120 Image 2 Mean gradient 0.2137 0.4234 0.4040 0.5405 0.6872 Information entropy 6.1722 7.2327 6.8339 7.0038 7.2132 SSIM 0.7625 0.7836 0.6677 0.7675 PSNR 10.4720 12.8085 16.4853 16.0857 Image 3 Mean gradient 0.2545 0.2861 0.2851 0.4922 0.5422 Information entropy 6.6592 6.6914 6.1962 7.2486 7.8148 SSIM 0.9240 0.7900 0.6576 0.6543 PSNR 8.7143 10.7418 16.9013 17.3359
Table 3. Objective evaluation of brown rot images
View tableTable 3. Objective evaluation of brown rot images
Image Parameter item Original MSRCR Algorithm of literature［22］ CLAHE Proposed algorithm Image 1 Mean gradient 0.4788 0.3667 0.3711 0.7332 0.7520 Information entropy 7.3869 6.8025 6.2358 7.4182 7.4233 SSIM 0.8551 0.6631 0.6132 0.7681 PSNR 9.6159 10.6471 15.5771 16.0985 Image 2 Mean gradient 0.4215 0.5096 0.4964 0.6466 0.6548 Information entropy 6.6622 7.0858 6.7869 7.4441 7.0513 SSIM 0.8712 0.8911 0.6840 0.7476 PSNR 8.9382 12.1122 16.0551 17.0568 Image 3 Mean gradient 0.4543 0.5174 0.4825 0.6306 0.6812 Information entropy 6.5570 6.7960 6.3238 7.1434 7.4420 SSIM 0.9459 0.8634 0.6880 0.7740 PSNR 11.3022 13.3717 14.9089 15.1943
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Yan Hong, Rong Pang, Qing Wei, Jingming Su, Feng Zhao. Nonlinear Adaptive Enhancement Algorithm for Uneven Illumination Images[J]. Laser & Optoelectronics Progress, 2023, 60(16): 1610002
Paper Information
Category: Image Processing
Received: Aug. 24, 2022
Accepted: Oct. 9, 2022
Published Online: Aug. 15, 2023
The Author Email: Pang Rong (silverlight4399@163.com)
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