Remote Sensing Image Enhancement Based on Adaptive Thresholding in NSCT Domain

被引：0

作者：

Li, Liangliang ^{[1
]}

Si, Yujuan ^{[1
,2
]}

Jia, Zhenhong ^{[3
]}

机构：

[1] Jilin Univ, Coll Commun Engn, Changchun, Jilin, Peoples R China

[2] Jilin Univ, Zhuhai Coll, Dept Elect Informat, Zhuhai, Peoples R China

[3] Xinjiang Univ, Coll Informat Sci & Engn, Urumqi, Peoples R China

来源：

2017 2ND INTERNATIONAL CONFERENCE ON IMAGE, VISION AND COMPUTING (ICIVC 2017) | 2017年

关键词：

image enhancement; NSCT; contrast stretching; adaptive threshold; unsharp filter; CONTOURLET TRANSFORM; WAVELET; COMBINATION; SIMILARITY; CURVELET; MODEL;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, a novel remote sensing image enhancement method is proposed. Firstly, the image is decomposed into a low-frequency component and some high-frequency components with NSCT; Secondly, contrast stretching is applied to improve the contrast of the low-frequency and the adaptive threshold is used to remove noise of the high-frequency; Thirdly, the inverse NSCT is adopted to reconstruct the image, and the unsharp filter is used to enhance the reconstructed image. Experiments show that the proposed method can suppress pseudo-Gibbs phenomena and noise interference of enhanced image.

引用

页码：319 / 322

页数：4

共 25 条

[1] A Comparative Evaluation of Denoising of Remotely Sensed Images Using Wavelet, Curvelet and Contourlet Transforms [J].

Ansari, Rizwan Ahmed ;

Budhhiraju, Kirshna Mohan .

JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING, 2016, 44 (06) :843-853

[2]

CHENG GL, 2016, IEEE GEOSCI REMOTE S, V205, P407

[3] Accurate urban road centerline extraction from VHR imagery via multiscale segmentation and tensor voting [J].

Cheng, Guangliang ;

Zhu, Feiyun ;

Xiang, Shiming ;

Wang, Ying ;

Pan, Chunhong .

NEUROCOMPUTING, 2016, 205 :407-420

[4]

Cheng GL, 2014, IEEE IMAGE PROC, P5072, DOI 10.1109/ICIP.2014.7026027

[5]

Cheng GL, 2015, IEEE IMAGE PROC, P3962, DOI 10.1109/ICIP.2015.7351549

[6] Single Image Super-Resolution Using Global Regression Based on Multiple Local Linear Mappings [J].

Choi, Jae-Seok ;

Kim, Munchurl .

IEEE TRANSACTIONS ON IMAGE PROCESSING, 2017, 26 (03) :1300-1314

[7] The nonsubsampled contourlet transform: Theory, design, and applications [J].

da Cunha, Arthur L. ;

Zhou, Jianping ;

Do, Minh N. .

IEEE TRANSACTIONS ON IMAGE PROCESSING, 2006, 15 (10) :3089-3101

[8] Perceptual image quality assessment based on structural similarity and visual masking [J].

Fei, Xuan ;

Xiao, Liang ;

Sun, Yubao ;

Wei, Zhihui .

SIGNAL PROCESSING-IMAGE COMMUNICATION, 2012, 27 (07) :772-783

[9] Audio-visual emotion recognition using multi-directional regression and Ridgelet transform [J].

Hossain, M. Shamim ;

Muhammad, Ghulam .

JOURNAL ON MULTIMODAL USER INTERFACES, 2016, 10 (04) :325-333

[10] Combination of contrast limited adaptive histogram equalisation and discrete wavelet transform for image enhancement [J].

Huang Lidong ;

Zhao Wei ;

Wang Jun ;

Sun Zebin .

IET IMAGE PROCESSING, 2015, 9 (10) :908-915

← 1 2 3 →