Improved Non-Local Mean Denoising Algorithm Based on Difference Hash Algorithm

Chunjian Hua; Jinke Ma; Ying Chen

doi:10.3788/LOP57.141007

Journals >Laser & Optoelectronics Progress >Volume 57 >Issue 14 >Page 141007 > Article

Laser & Optoelectronics Progress
Vol. 57, Issue 14, 141007 (2020)

Improved Non-Local Mean Denoising Algorithm Based on Difference Hash Algorithm

Chunjian Hua^1、2、*, Jinke Ma^1、2, and Ying Chen³

Author Affiliations

¹School of Mechanical Engineering, Jiangnan University, Wuxi, Jiangsu 214122, China

²Jiangsu Key Laboratory of Advanced Food Manufacturing Equipment & Technology, Wuxi, Jiangsu 214122, China;

³School of Internet of Things Engineering, Jiangnan University, Wuxi, Jiangsu 214122, China

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DOI: 10.3788/LOP57.141007 Cite this Article Set citation alerts

Chunjian Hua, Jinke Ma, Ying Chen. Improved Non-Local Mean Denoising Algorithm Based on Difference Hash Algorithm[J]. Laser & Optoelectronics Progress, 2020, 57(14): 141007 Copy Citation Text

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Fig. 1. Flow chart of algorithm

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Fig. 2. Test images. (a) Lena; (b) Cameraman; (c) Lena after adding noise; (d) Cameraman after adding noise

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Fig. 3. Fitting result of σ' and h of Lena image

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Fig. 4. Fitting result of σ' and h of Cameraman image

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Fig. 5. Denoising results of different algorithms. (a) NLM; (b) GNLM; (c) TNLM; (d) HNLM

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Fig. 6. Image details obtained by different algorithms. (a) NLM; (b) GNLM; (c) TNLM; (d) HNLM

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σ	Image	PSNR /dB	λ	h
10	Lena	34.72	0.5	0.006
	Cameraman	35.51	0.5	0.006
15	Lena	33.06	0.5	0.014
	Cameraman	33.50	0.5	0.014
20	Lena	31.70	0.5	0.026
	Cameraman	32.04	0.5	0.026
25	Lena	30.58	0.5	0.044
	Cameraman	30.71	0.5	0.044
30	Lena	29.66	0.5	0.066
	Cameraman	29.58	0.5	0.064
35	Lena	28.86	0.5	0.092
	Cameraman	28.43	0.5	0.090

Table 1. λ and h when PSNR is maximum

Algorithm	Parameter	Standard deviation
Algorithm	Parameter	10	25	50
NLM	PSNR /dB	27.38	26.98	25.71
	time /s	0.45	0.45	0.46
GNLM	PSNR /dB	34.11	30.53	27.12
	time /s	3.22	3.17	3.55
TNLM	PSNR /dB	33.22	29.40	25.99
	time/s	3.54	3.45	3.51
HNLM	PSNR /dB	34.72	30.58	27.02
	time /s	0.63	0.65	0.62

Table 2. PSNR and running time of four algorithms under different noises (Lena image)

Algorithm	Parameter	Standard deviation
Algorithm	Parameter	10	25	50
NLM	PSNR /dB	26.01	25.56	24.02
	time /s	0.41	0.43	0.42
GNLM	PSNR /dB	34.20	30.52	25.95
	Time /s	3.21	3.25	3.26
TNLM	PSNR /dB	34.16	29.83	24.25
	time /s	3.52	3.49	3.34
HNLM	PSNR /dB	35.51	30.71	25.89
	time /s	0.65	0.69	0.67

Table 3. PSNR and running time of four algorithms under different noises (Cameraman image)

Chunjian Hua, Jinke Ma, Ying Chen. Improved Non-Local Mean Denoising Algorithm Based on Difference Hash Algorithm[J]. Laser & Optoelectronics Progress, 2020, 57(14): 141007

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