Medical Image Enhancement Algorithm Based on Shearlet Domain and Improve Pal-King Algorithm

$Experimental results of different algorithms for lung image. (a) Original image; (b) shearlet[10] method; (c) fractional differential[16] method; (d) improved Pal-King[14] method; (e) proposed method$

Fig. 4. Experimental results of different algorithms for lung image. (a) Original image; (b) shearlet[10] method; (c) fractional differential[16] method; (d) improved Pal-King[14] method; (e) proposed method

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$Experimental results for different methods. (a) Original image; (b) shearlet[10] method; (c) fractional differential[16] method; (d) improved Pal-King[14] method; (e) proposed method$

Fig. 5. Experimental results for different methods. (a) Original image; (b) shearlet[10] method; (c) fractional differential[16] method; (d) improved Pal-King[14] method; (e) proposed method

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$Experimental results for different methods. (a) Original image; (b) shearlet[10] method; (c) fractional differential[16] method; (d) improved Pal-King[14] method; (e) proposed method$

Fig. 6. Experimental results for different methods. (a) Original image; (b) shearlet[10] method; (c) fractional differential[16] method; (d) improved Pal-King[14] method; (e) proposed method

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Table 1. Comparison of average objective criteria for lung images

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Table 1. Comparison of average objective criteria for lung images

Algorithm	Evaluation indicator
Algorithm	AG	EINT	C	STD	E
Shearlet	10.43	93.95	16.32	84.52	6.80
Fractional differential	7.55	66.34	12.16	49.13	6.51
Improved Pal-King	10.91	104.49	15.78	108.03	4.92
Proposed algorithm	13.27	121.67	20.13	107.14	4.98

Table 2. Comparison of objective criteria for different algorithms in Fig. 5
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Table 2. Comparison of objective criteria for different algorithms in Fig. 5
Algorithm Evaluation indicator
AG EINT C STD E
Shearlet 4.86 49.08 5.64 44.10 5.41
Fractional differential 4.88 46.19 6.29 26.06 5.28
Improved Pal-King 6.13 62.63 7.06 49.65 3.67
Proposed algorithm 9.54 77.16 8.64 60.52 3.72

Table 3. Comparison of objective criteria for different algorithms in Fig. 6
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Table 3. Comparison of objective criteria for different algorithms in Fig. 6
Algorithm Evaluation indicator
AG EINT C STD E
Shearlet 4.70 49.02 5.30 42.69 6.09
Fractional differential 4.96 49.60 6.02 28.06 5.94
Improved Pal-King 5.07 54.09 5.58 47.29 3.95
Proposed algorithm 6.47 68.45 7.18 54.57 4.00

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Xiangdan Hou, Mengjing Zheng, Hongpu Liu, Bocen Li. Medical Image Enhancement Algorithm Based on Shearlet Domain and Improve Pal-King Algorithm[J]. Laser & Optoelectronics Progress, 2019, 56(3): 031006

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