A module-based LSB substitution method with lossless secret data compression

Authors:
Shang-Kuan Chen
Affiliations:
-
Venue:
Computer Standards & Interfaces
Year:
2011

Citing 3
Cited 1

An image-hiding method with high hiding capacity based on best-block matching and k-means clustering

Pattern Recognition
Inverted pattern approach to improve image quality of information hiding by LSB substitution

Pattern Recognition
Hiding data in spatial domain images with distortion tolerance

Computer Standards & Interfaces

Using PSO in a spatial domain based image hiding scheme with distortion tolerance

Computers and Electrical Engineering

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Abstract

All the various data hiding methods can be simply divided into two types: (1) the extracted important data are lossy, (2) the extracted important data are lossless. The proposed method belongs to the second type. In this paper, a module-based substitution method with lossless secret data compression function is used for concealing smoother area of secret image by modifying fewer pixels in the generated stego-image. Compared with the previous data hiding methods that extract lossless data, the generated stego-image by the proposed method is always with better quality, unless the hidden image is with very strong randomness.