Infrared Image Enhancement Algorithm Based on Improved Homomorphic Filtering

Table 1. Comparison of objective indicators of different algorithms (Fig. 8)
View table
Table 1. Comparison of objective indicators of different algorithms (Fig. 8)
Algorithm AVG IE PNSR
Unprocessed 0.3313 2.8139
Gaussian high-pass type Homomorphic filtering 5.0287 3.8174 18.7686
CLAHE 1.1655 4.4677 24.2069
Proposed algorithm 8.4395 7.1016 16.9241

Table 2. Comparison of objective metrics of different algorithms (Fig. 9)
View table
Table 2. Comparison of objective metrics of different algorithms (Fig. 9)
Algorithm AVG IE PNSR
Unprocessed 1.7030 4.7987
Gaussian high-pass type Homomorphic filtering 2.5163 5.1141 19.0423
CLAHE 3.9384 6.5199 20.2797
Proposed algorithm 7.0356 7.0982 20.2917

Table 3. Comparison of objective metrics of different algorithms (Fig. 10)
View table
Table 3. Comparison of objective metrics of different algorithms (Fig. 10)
Algorithm AVG IE PNSR
Unprocessed 1.8562 5.5586
Gaussian high-pass type Homomorphic filtering 5.1615 6.6853 15.9972
CLAHE 5.6597 7.0467 14.6205
Proposed algorithm 11.6736 7.6379 13.9614

Table 4. Comparison of objective metrics of different algorithms (Fig. 11)
View table
Table 4. Comparison of objective metrics of different algorithms (Fig. 11)
Algorithm AVG IE PNSR
Unprocessed 0.4067 4.1433
Gaussian high-pass type Homomorphic filtering 4.2809 4.8172 10.2381
CLAHE 5.1099 7.4538 10.0618
Proposed algorithm 6.2192 7.6457 10.5492

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Ke Zhang, Yurong Liao, Yalun Luo, Lingfeng Cheng. Infrared Image Enhancement Algorithm Based on Improved Homomorphic Filtering[J]. Laser & Optoelectronics Progress, 2023, 60(10): 1010003

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