CURVELETS

作品数:3被引量:5H指数:2
导出分析报告
相关领域:电子电信更多>>
相关期刊:《The Journal of China Universities of Posts and Telecommunications》《Computers, Materials & Continua》《Chinese Journal of Electronics》更多>>
相关基金:国家自然科学基金更多>>
-

检索结果分析

结果分析中...
条 记 录,以下是1-3
视图:
排序:
Enhanced Steganalysis for Color Images Using Curvelet Features and Support Vector Machine
《Computers, Materials & Continua》2024年第1期1311-1328,共18页Arslan Akram Imran Khan Javed Rashid Mubbashar Saddique Muhammad Idrees Yazeed Yasin Ghadi Abdulmohsen Algarni 
financially supported by the Deanship of Scientific Research at King Khalid University under Research Grant Number(R.G.P.2/549/44).
Algorithms for steganography are methods of hiding data transfers in media files.Several machine learning architectures have been presented recently to improve stego image identification performance by using spatial i...
关键词:CURVELETS fast fourier transformation support vector machine high pass filters STEGANOGRAPHY 
Curvelet transform and contrast adaptive clip histogram equalization-based image defogging algorithm被引量:2
《The Journal of China Universities of Posts and Telecommunications》2018年第2期96-104,共9页Wang Qi Wang Shigang Jia Bowen Du Hailong 
supported by the National Natural Science Foundation of China(61631009,41704103)
Due to the scattering effect of suspended particles in the atmosphere, foggy day images have reduced visibility and contrast significantly. Considering the loss of details and uneven defogging results of the contrast ...
关键词:DEFOGGING clip limit contrast adaptive clip HE curvelets transform 
Curvelet-Based Iterative Regularization and Inverse Scale Space Methods被引量:3
《Chinese Journal of Electronics》2010年第3期548-552,共5页LIU Guojun FENG Xiangchu 
This work is supported by the National Natural Science Foundation of China (No.60872138).
For regularization theory of inverse problem in image processing, a challenge is to find a proper space in which the image is well characterized and hence restorable faithfully. Therefore, one contribution of this pap...
关键词:CURVELETS Decomposition spaces De- noising Iterative regularization Inverse scale spaces Bregman distance Shrinkage. 
检索报告 对象比较 聚类工具 使用帮助 返回顶部