Adaptive clip-limit-based bi-histogram equalization algorithm for infrared image enhancement

Abhisek Paul; Tandra Sutradhar; Paritosh Bhattacharya; Santi P Maity

doi:10.1364/AO.395848

Applied Optics
Vol. 59,
Issue 28,
pp. 9032-9041
(2020)
•https://doi.org/10.1364/AO.395848

Adaptive clip-limit-based bi-histogram equalization algorithm for infrared image enhancement

Abhisek Paul, Tandra Sutradhar, Paritosh Bhattacharya, and Santi P Maity

Not Accessible

Your library or personal account may give you access

Get PDF
Email
Share
Get Citation
Copy Citation Text
Abhisek Paul, Tandra Sutradhar, Paritosh Bhattacharya, and Santi P Maity, "Adaptive clip-limit-based bi-histogram equalization algorithm for infrared image enhancement," Appl. Opt. 59, 9032-9041 (2020)

Export Citation
- BibTex
- Endnote (RIS)
- HTML
- Plain Text
Citation alert
Save article

Check for updates

Related Topics
Table of Contents Category
- Imaging Systems, Image Processing, and Displays
Optics & Photonics Topics
?

The topics in this list come from the Optics and Photonics Topics applied to this article.

About this Article
History
- Original Manuscript: April 23, 2020
- Revised Manuscript: July 22, 2020
- Manuscript Accepted: September 4, 2020
- Published: October 1, 2020

Abstract

Infrared (IR) images are basically low-contrast in nature; hence, it is essential to enhance the contrast of IR images to facilitate real-life applications. This work proposes a novel adaptive clip-limit-oriented bi-histogram equalization (bi-HE) method for enhancing IR images. HE methods are simple in implementation but often cause over-enhancement due to the presence of long spikes. To reduce long spikes, this work suggests to apply a log-power operation on the histogram, where the log operation reduces the long spikes, and power transformation regains the shape of the histogram. First, a histogram separation point is generated applying the mean of the multi-peaks of the input histogram. After that, an alteration in the input histogram is done using the log-power process. Subsequently, a clipping operation on the altered histogram followed by redistribution of the clipped portion is performed to restrict over-enhancement. Next, the modified histogram is sub-divided using the histogram separation point. Finally, the modified sub-histograms are equalized independently. Simulation results show that the suggested method effectively improves the contrast of IR images. Visual quality evaluations and quantitative assessment demonstrate that the suggested method outperforms the state-of-the-art algorithms.

Full Article | PDF Article

More Like This

Infrared image enhancement algorithm based on adaptive histogram segmentation

Jun Huang, Yong Ma, Ying Zhang, and Fan Fan
Appl. Opt. 56(35) 9686-9697 (2017)

Real-time infrared image detail enhancement based on fast guided image filter and plateau equalization

Yaohong Chen, Jin U. Kang, Gaopeng Zhang, Jianzhong Cao, Qingsheng Xie, and Chiman Kwan
Appl. Opt. 59(21) 6407-6416 (2020)

Hue-preserving and saturation-improved color histogram equalization algorithm

Ki Sun Song, Hee Kang, and Moon Gi Kang
J. Opt. Soc. Am. A 33(6) 1076-1088 (2016)

Previous Article Next Article

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Figures (9)

You do not have subscription access to this journal. Figure files are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Tables (8)

You do not have subscription access to this journal. Article tables are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Equations (11)

You do not have subscription access to this journal. Equations are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Input	PDF	CDF	$F_{D}$	Output
91	0.0292	0.0586	7.32	7
100	0.0298	0.2661	33.26	33
105	0.0324	0.4189	52.36	52
112	0.0345	0.6204	77.55	78
118	0.0345	0.7930	99.12	99
130	0.0430	0.1721	148.20	148
135	0.0430	0.3443	170.41	170
142	0.0430	0.6025	203.72	204
146	0.0405	0.7701	225.35	225
235	0	0.9593	249.74	250

Methods	Fig. 5	Fig. 6	Fig. 7	Fig. 8	Fig. 9
Original	5.2906	5.7164	5.8285	4.0851	5.1143
BBHE	5.2303	5.6593	5.7624	4.0379	5.0358
BHEPL	4.9681	5.3629	5.4837	3.8009	4.7939
ADPHE	5.2843	5.7015	$\underline{5.8192}$	4.0850	5.1142
CEAGS	5.1232	5.2837	5.4059	3.8029	4.7443
AGCWD	5.2702	5.6895	5.7904	4.0748	5.0911
ESIHE	5.2809	5.7024	5.8032	4.0743	5.0964
DPL	$\underline{5.2835}$	$\underline{5.7059}$	5.8117	4.0737	5.1006
RESIHE	5.2756	5.6922	5.7936	4.0683	5.0908
AIEBHE	4.9737	5.3734	5.4999	3.9241	4.8066
SBHE	5.2668	5.6927	5.7922	4.0665	5.0863
Proposed	5.2906	5.7161	5.8281	$\underline{4.0845}$	$\underline{5.1138}$

Methods	Fig. 5	Fig. 6	Fig. 7	Fig. 8	Fig. 9
BBHE	0.4092	0.5168	0.4479	0.1934	0.3953
BHEPL	0.5645	0.6356	0.6068	0.3614	0.6332
ADPHE	0.5282	0.6352	0.6271	0.4373	0.6254
CEAGS	0.3733	0.4450	0.4858	0.1508	0.4187
AGCWD	0.7517	0.8217	0.7728	0.5371	0.7879
ESIHE	0.5571	0.6226	0.5984	0.3742	0.6138
DPL	0.5052	0.5911	0.5515	0.2799	0.5351
RESIHE	0.5133	0.5839	0.5506	0.3506	0.5407
AIEBHE	0.5997	0.6818	0.6863	$\underline{0.5652}$	0.6829
SBHE	0.4726	0.5765	0.5394	0.2763	0.5393
Proposed	$\underline{0.6893}$	$\underline{0.7292}$	$\underline{0.7117}$	0.6130	$\underline{0.6939}$

Methods	Fig. 5	Fig. 6	Fig. 7	Fig. 8	Fig. 9
BBHE	0.5744	0.6544	0.5970	0.3889	0.5843
BHEPL	0.6529	0.7209	0.6932	0.5049	0.7129
ADPHE	0.6541	0.7515	0.7530	0.6443	0.7708
CEAGS	0.6015	0.6527	0.6448	0.3914	0.6080
AGCWD	0.8078	0.8598	$\underline{0.8280}$	$\underline{0.6754}$	$\underline{0.8380}$
ESIHE	0.6571	0.7147	0.6907	0.5222	0.7096
DPL	0.6395	0.7024	0.6734	0.4545	0.6761
RESIHE	0.6361	0.6908	0.6705	0.4972	0.6727
AIEBHE	0.6774	0.7804	0.7540	0.6206	0.7552
SBHE	0.6109	0.6859	0.6542	0.4424	0.6654
Proposed	$\underline{0.7896}$	$\underline{0.8549}$	0.8478	0.8540	0.8896

Methods	Fig. 5	Fig. 6	Fig. 7	Fig. 8	Fig. 9
BBHE	0.4154	$\underline{0.3850}$	0.3954	0.4040	0.3816
BHEPL	0.4816	0.4565	0.4730	0.5479	0.4622
ADPHE	0.4402	0.4017	$\underline{0.3885}$	$\underline{0.2392}$	$\underline{0.3135}$
CEAGS	$\underline{0.4059}$	0.3965	0.4819	0.3128	0.4070
AGCWD	0.6635	0.6236	0.6461	0.7287	0.7099
ESIHE	0.4537	0.4237	0.4539	0.3906	0.4182
DPL	0.4372	0.4167	0.4320	0.4774	0.4056
RESIHE	0.4334	0.3876	0.4345	0.4297	0.3773
AIEBHE	0.4843	0.5007	0.4946	0.4596	0.4790
SBHE	0.4371	0.4117	0.4291	0.4745	0.4043
Proposed	0.3321	0.3007	0.2924	0.1256	0.1826

Methods	Entropy	SSIM	FSIM	$η$
BBHE	5.2519	0.5353	0.6097	0.3871
BHEPL	4.9910	0.6186	0.7238	0.4643
ADPHE	$\underline{5.3078}$	0.6068	0.7410	0.4008
CEAGS	4.9377	0.4258	0.6354	$\underline{0.3337}$
AGCWD	5.2782	0.7651	$\underline{0.8291}$	0.6510
ESIHE	5.2991	0.6173	0.7285	0.4267
DPL	5.3036	0.5531	0.6930	0.4310
RESIHE	5.2842	0.5754	0.7032	0.4123
AIEBHE	5.0202	0.6693	0.7541	0.4826
SBHE	5.2865	0.5353	0.6730	0.4272
Proposed	5.3163	$\underline{0.7500}$	0.8643	0.3270

Image	BBHE	BHEPL	ADPHE	CEAGS	AGCWD	ESIHE	DPL	RESIHE	AIEBHE	SBHE	Ours
Fig. 5	$1.7 \pm 0.5$	$2.8 \pm 0.4$	$4.3 \pm 0.5$	$1.2 \pm 0.4$	$3.5 \pm 0.5$	$3.6 \pm 0.5$	$3.4 \pm 0.5$	$3.4 \pm 0.5$	$4.3 \pm 0.5$	$3.3 \pm 0.5$	$4.5 \pm 0.5$
Fig. 6	$1.6 \pm 0.5$	$2.4 \pm 0.5$	$4.4 \pm 0.5$	$1.2 \pm 0.4$	$3.5 \pm 0.5$	$3.5 \pm 0.5$	$3.5 \pm 0.5$	$3.4 \pm 0.5$	$4.2 \pm 0.5$	$3.2 \pm 0.4$	$4.6 \pm 0.5$
Fig. 7	$1.5 \pm 0.5$	$2.6 \pm 0.5$	$4.5 \pm 0.7$	$1.4 \pm 0.5$	$3.4 \pm 0.5$	$3.4 \pm 0.5$	$3.4 \pm 0.5$	$3.2 \pm 0.4$	$4.4 \pm 0.5$	$3.2 \pm 0.4$	$4.5 \pm 0.5$
Fig. 8	$1.3 \pm 0.5$	$2.3 \pm 0.5$	$4.6 \pm 0.5$	$1.1 \pm 0.3$	$3.4 \pm 0.4$	$3.3 \pm 0.4$	$3.5 \pm 0.5$	$3.2 \pm 0.4$	$4.2 \pm 0.5$	$3.3 \pm 0.5$	$4.7 \pm 0.5$
Fig. 9	$1.4 \pm 0.5$	$2.7 \pm 0.5$	$4.3 \pm 0.5$	$1.3 \pm 0.4$	$3.4 \pm 0.5$	$3.6 \pm 0.5$	$3.5 \pm 0.5$	$3.2 \pm 0.4$	$4.3 \pm 0.5$	$3.4 \pm 0.5$	$4.6 \pm 0.5$

Abstract

Cited By

Figures (9)

Tables (8)

Equations (11)

Applied Optics