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Xin Liao

Researcher at Hunan University

Publications -  63
Citations -  2057

Xin Liao is an academic researcher from Hunan University. The author has contributed to research in topics: Steganography & Computer science. The author has an hindex of 15, co-authored 51 publications receiving 1276 citations. Previous affiliations of Xin Liao include Hunan Police Academy & Shenzhen University.

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Reversible data hiding in encrypted images based on absolute mean difference of multiple neighboring pixels

TL;DR: A novel method of evaluating the complexity of image blocks, which considers multiple neighboring pixels according to the locations of different pixels, which can increase the correctness of data extraction/image recovery and reduce average extracted-bit error rate when the block size is appropriate.
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A New Payload Partition Strategy in Color Image Steganography

TL;DR: A novel channel-dependent payload partition strategy based on amplifying channel modification probabilities is proposed, so as to adaptively assign the embedding capacity among RGB channels, and the experimental results show that the new color image steganographic schemes, incorporated with the proposed strategy, can effectively make theembedding changes concentrated mainly in textured regions, and achieve better performance on resisting the modern color image Steganalysis.
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A steganographic method for digital images with four-pixel differencing and modified LSB substitution

TL;DR: By proving that the readjusting procedure works, a theoretical proof is given to justify the method succeeded in embedding and extracting, and the proposed method not only has an acceptable image quality but also provides a large embedding capacity.
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Separable data hiding in encrypted image based on compressive sensing and discrete fourier transform

TL;DR: A new method of separable data hiding in encrypted images are proposed by using CS and discrete fourier transform, which takes full advantage of both real and imaginary coefficients for ensuring great recovery and providing flexible payload.
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Adaptive Payload Distribution in Multiple Images Steganography Based on Image Texture Features

TL;DR: This article formulates adaptive payload distribution in multiple images steganography based on image texture features and provides the theoretical security analysis from the steganalyst's point of view and extensive experimental results show that the proposed payload distribution strategies could obtain better security performance.