Data Hiding for Audio Based on Piecewise Linear Haar Transform

Yan, Diqun; Wang, Rangding

doi:10.1109/cisp.2008.209

Cited by 5 publications

(2 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Operating in the spatial domain means direct modification of multimedia data, such as, for example, color bands or brightness in case of images. The typical example of this approach is the Least Significant Bit (LSB) [ 1 ], where the least significant bits of multimedia objects are replaced with information bits. For instance, image pixel values might be altered by substituting the LSB for the message bitstream values.…”

Section: Introductionmentioning

confidence: 99%

Analysis of New Orthogonal Transforms for Digital Watermarking

Bogacki

Dziech

2022

Sensors

View full text Add to dashboard Cite

The paper focuses on the application of new orthogonal transforms in digital watermarking. Novel types of transforms and their characteristics are presented. Potential methods for watermark embedding and recovery are also proposed. They assume embedding hidden information in the transform domains using the luminance channel of the original image. Image spectra are obtained by dividing the original image into smaller blocks that then are further processed by performing the forward transform operation. A watermark is embedded by modifying the spectral coefficients with relatively low values. Since there are various types of transforms, the latter process is realized in an adaptive manner. The proposed solutions were evaluated by measuring the level of visual distortion with respect to the total size of the inserted data. Additionally, the bit error rate (BER) in the recovery phase is also analyzed. The elaborated methods seem to be useful for applications in digital signal and image processing where high imperceptibility and low BER are of great importance. New orthogonal transforms were proved to be useful in watermarking tasks, and in some cases, they can even outperform the classic DCT approach.

show abstract

Section: Introductionmentioning

confidence: 99%

Analysis of New Orthogonal Transforms for Digital Watermarking

Bogacki

Dziech

2022

Sensors

View full text Add to dashboard Cite

show abstract

“…In [ 16 ], Yan et al presented a data hiding scheme based on LSB modification in the Piecewise-Linear Haar transform for audio signals. Yang et al in [ 17 ] proposed a reversible data hiding method dedicated to images using symmetrical histogram expansion also in the domain of this transform.…”

Section: Introductionmentioning

confidence: 99%

A New Method for Image Protection Using Periodic Haar Piecewise-Linear Transform and Watermarking Technique

Dziech¹,

Bogacki²,

Derkacz³

2022

Sensors

View full text Add to dashboard Cite

The paper presents a novel data-embedding method based on the Periodic Haar Piecewise-Linear (PHL) transform. The theoretical background behind the PHL transform concept is introduced. The proposed watermarking method assumes embedding hidden information in the PHL transform domain using the luminance channel of the original image. The watermark is embedded by modifying the coefficients with relatively low values. The proposed method was verified based on the measurement of the visual quality of an image with a watermark with respect to the length of the embedded information. In addition, the bit error rate (BER) is also considered for different sizes of a watermark. Furthermore, a method for the detection of image manipulation is presented. The elaborated technique seems to be suitable for applications in digital signal and image processing where high imperceptibility and low BER are required, and information security is of high importance. In particular, this method can be applied in systems where the sensitive data is transmitted or stored and needs to be protected appropriately (e.g., in medical image processing) .

show abstract