Xiangguang Xiong

ORCID: 0000-0001-6604-9251
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About
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Research Areas
  • Advanced Steganography and Watermarking Techniques
  • Chaos-based Image/Signal Encryption
  • Digital Media Forensic Detection
  • Advanced Data Compression Techniques
  • Advanced Image and Video Retrieval Techniques
  • Multimodal Machine Learning Applications
  • Face and Expression Recognition
  • Computer Graphics and Visualization Techniques
  • Genomics and Phylogenetic Studies
  • Vehicle License Plate Recognition
  • Image Retrieval and Classification Techniques
  • Advanced Image Fusion Techniques
  • Sparse and Compressive Sensing Techniques
  • Face recognition and analysis
  • Digital Rights Management and Security

Guizhou Normal University
2015-2025

Guizhou University
2022

Image reversible data hiding (RDH) using interpolation technology (IT) provides high single-layer embedding capacity and has become a research hotspot. To solve serious image distortion in existing methods caused by secondary based on interpolated pixels, we propose an RDH method for images modulo operation prediction-error expansion (PEE). Our differs from that only consider into pixels. First, is used to generate image, which partitioned overlapping 3 × blocks. For each block, secret are...

10.1109/access.2023.3258461 article EN cc-by-nc-nd IEEE Access 2023-01-01

This study proposes a large capacity, reversible, and separable algorithm based on adaptive embedding to address the issues plaguing reversible data hiding in encrypted images (RDH-EI) algorithms, such as reversibility, low rate, incomplete separation. An improved Arnold chaos-based image encryption is proposed stage, permitting original several times using matrix performing pixel diffusion generated chaotic sequence. Then, interpolated with an interpolation create cover be embedded secret...

10.1109/access.2023.3321129 article EN cc-by-nc-nd IEEE Access 2023-01-01

In this paper, a new scheme of reversible watermarking is proposed using complementary embedding strategy in the spatial domain. The consists two stages: horizontal direction and vertical embedding. A designed to increase capacity decrease distortion watermarked image Specifically, direction, embeds one secret data bit by increasing values pixels even rows decreasing odd one. it another addition, histogram shrinkage technique adopted prevent overflow underflow problems. Experimental results...

10.1109/access.2019.2942449 article EN cc-by IEEE Access 2019-01-01

In this paper, for color image copyright protection application, a new and blind watermarking algorithm based on quantitation method in three dimensional discrete cosine transform (3D-DCT) is proposed. Firstly, the original RGB divided into non-overlapping blocks sized 8 × 3, then performs 3D-DCT each block. Secondly, embed bit signal block's direct-current (DC) coefficient by quantization method. The results show that proposed scheme has very good imperceptibility robustness against common...

10.4236/wjet.2015.33c026 article EN World Journal of Engineering and Technology 2015-01-01

Reversible data hiding scheme can completely recover the original cover image after embedded secret have been correctly extracted, which has become a hot topic of hiding.However, embedding capacities these existing reversible schemes are usually rather limited.In this paper, an improved based on interpolation technique is proposed, embed large amount bits into image.The experimental results show that proposed obtain better performance in terms capacity and quality compared with other similar...

10.2991/ceie-16.2017.17 article EN cc-by-nc 2017-01-01

In this paper, an improved blind color image watermarking algorithm based on relationship embedding strategy is proposed.Firstly, the original RGB transformed into YCbCr space.Secondly, Y channel of space divided blocks sized 8×8, and then perform two dimensional discrete cosine transform each block.Finally, embed binary signal by changing one pair selected middle-frequency sub-band coefficient's relationship.Experimental results show that proposed has very good transparency robustness...

10.2991/ismems-16.2016.26 article EN cc-by-nc 2016-01-01
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