@inproceedings{d53368179cfa4f5eaa0ce090d18cd48f,
title = "An innovative image enhancement method for edge preservation in wavelet domain",
abstract = "In this paper, an innovative method is proposed for both noise repression and edge preservation. This method is distinct in that the structure tensor is applied in wavelet domain to detect the edge information. And both the shrinkage and the detection process are quantified and unified in the form of the matrix mask. In this way, the image denoising can be conducted with the detailed information maintained. To be specific, two matrix masks respectively in charge of suppressing the noise and preserving the edge pixels are combined to undertake this dual mission. And such an approach is proven to be beneficial to both the noise repression and the edge preservation.",
keywords = "Compound mask, Denoising, Edge preservation, Structure tensor, Wavelet threshold shrinkage",
author = "Jing Jin and Songyuan Tang and Yi Shen",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 2015 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2015 ; Conference date: 11-05-2015 Through 14-05-2015",
year = "2015",
month = jul,
day = "6",
doi = "10.1109/I2MTC.2015.7151239",
language = "英语",
series = "Conference Record - IEEE Instrumentation and Measurement Technology Conference",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "52--56",
booktitle = "2015 IEEE International Instrumentation and Measurement Technology Conference - The {"}Measurable{"} of Tomorrow",
address = "美国",
}