Fountain code based fragile watermark self-restoration algorithm

Abstract

The invention discloses a fountain code based fragile watermark self-restoration algorithm. The algorithm includes a watermark embedding process comprising framing original voice signals, performing compression and encoding on each frame of data, performing random ranking on all the frames, performing frame grouping, performing fountain encoding on compression information of each frame group, generating reference value information and storing the reference value information and check information into a least significant bit; and a signal data restoration process comprising performing framing and frame grouping on received signals, extracting the reference value information and the check information in the least significant bit of each frame, positioning a tampered position according to thecheck information and restoring the whole original voice signals according to the reference value information of frames that are not tampered. According to the invention, by utilizing characteristicsof being codeless and suitable for channel deletion of fountain codes, watermark technology and fountain code technology are combined together. Pre-estimation of the range of a destruction rate is not needed and good universality is achieved.

Description

technical field [0001] The present invention relates to fragile voice signal self-recovery watermark technology, more specifically, relates to a fragile watermark self-recovery algorithm based on fountain codes. Background technique [0002] With the rapid development of computer and Internet technology, a large number of multimedia signals such as text, image, sound and video have emerged, which has brought great convenience for people to obtain information. However, the signal is easily copied or tampered with during transmission, which brings serious information security problems. Therefore, good algorithms are needed to ensure the integrity and accuracy of the signal. When signals are transmitted on the Internet, it is based on packet communication. Each data packet is either received by the receiving end without error, or cannot be received. Therefore, how to recover the deleted or tampered signal is a major issue. [0003] Therefore, digital watermarking technology c...

AI Technical Summary

Problems solved by technology

However, in the field of speech, the research is still in its infancy, because the human auditory system is more sensitive than the human visual system, so the sensitivity and accuracy of the speech signal self-recovery algorithm are required to be higher

The traditional watermark authentication technology mainly focuses on detecting whether the signal is damaged, focusing on testing the integrity of the signal, but rarely involves the restoration of the damaged voice signal, and cannot further restore the signal efficiently and accurately

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