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
收藏
页码：319 / 322
页数：4
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