Lossless Audio Watermarking Based on the Alpha Statistic Modulation

Abstract

In this paper, we propose a high capacity, self-synchronized, lossless audio watermarking algorithm based on the alpha ('α') MP3 compression, cropping, filtering,

Robust Watermarking Using Compressed Sensing Framework with Application to MP3 Audio

“…Most of the recent work reviewed here rely on the concept of quantizing some parameters following the quantization index modulation (QIM) approach [2,6,7,15]. The quantized parameters are in a transformed space, for example, the Walsh-Hadamard [8], or the wavelet domains [2,9,10,11,14,15]. Many of the recent techniques apply singular value decomposition (SVD) [3,6,7] as a means of making the embedding more robust.…”

“…In particular, SS suffers from host rejection problem which reduces its payload capacity to increase the spreading rate, while QIM suffers from low immunity to additive noise and both have problems with MP3 compression/decompression attacks. Recently, there has been a considerable amount of work in robust watermarking of MP3 audio to overcome some of the problems of the traditional techniques [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15]. Recent work focuses on the effects of MP3 compression/decompression sampling rate conversion, and synchronization attacks, among other attacks.…”

“…Recent work focuses on the effects of MP3 compression/decompression sampling rate conversion, and synchronization attacks, among other attacks. New watermarking techniques have emerged which combine the histogram based embedding, SVD of transform domain coefficients and the QIM are reaching promising payload values with improved robustness to different attacks [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15].…”