Xiao-Wei Li

Dr. Xiao-Wei Li

Department of Electronics and Information Engineering, Sichuan University, Chengdu 610065, China

Research Focus & Metrics

Academic Career Length

15Years (2012-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 August 2016 in Signal Processing
Verified
Journal Article
Closed access
Xiao-Wei LiXiao-Wei Li
Xiao-Wei Li
CLChengqing Li
Chengqing Li
ILIn-Kwon Lee
In-Kwon Lee

1 January 2018 in Optics and Lasers in Engineering
Verified
Journal Article
Closed access
Xiao-Wei LiXiao-Wei Li
Xiao-Wei Li
DXDan Xiao
Dan Xiao
QWQiong-Hua Wang
Qiong-Hua Wang

1 December 2013 in Optics and Lasers in Engineering
Verified
Journal Article
Closed access
Xiao-Wei LiXiao-Wei Li
Xiao-Wei Li
SKSeok Tae Kim
Seok Tae Kim

1 March 2015 in Optics and Lasers in Engineering
Verified
Journal Article
Closed access
Xiao-Wei LiXiao-Wei Li
Xiao-Wei Li
ILIn-Kwon Lee
In-Kwon Lee

2 February 2015 in Optics Express
Verified
Journal Article
Closed access
PDF file
Xiao-Wei LiXiao-Wei Li
Xiao-Wei Li
ILIn-Kwon Lee
In-Kwon Lee
Generally, conventional transform (DWT and DFT, etc.) -based watermarking techniques provide only one spectrum plane for embedding the watermark, thus the embedding watermark information can be easily removed. To solve this problem, we propose an efficient cellular automata (CA) based watermarking method that CA transform (CAT) with various gateway values can provide many transform planes for watermark embedding according to various CA rules. In this paper, multiple ownership watermarks are first recorded in the form of an elemental image array (EIA), simultaneously, and then the recorded EIA as the watermark data is embedded into the CAT coefficient. An additional advantage of this proposed method is that EIA is composed of many elemental images and each elemental image has its own property of watermarks. Even though most data of elemental images are lost, the watermarks can be reconstructed from the remaining elemental images successfully. Experimental results show that the proposed technique provides good image quality and is robust in varying degree to some image processing attacks.

1 January 2019 in Optics and Lasers in Engineering
Verified
Journal Article
Closed access
Xiao-Wei LiXiao-Wei Li
Xiao-Wei Li
YWYing Wang
Ying Wang
QWQiong-Hua Wang
Qiong-Hua Wang
YLYang Liu
Yang Liu
XZXin Zhou
Xin Zhou