Marcado de audio mejorado en el dominio wavelet

Improved audio watermarking in the wavelet domain

Palabras clave: watermarking, image processing, discrete wavelet transform (en_US)
Palabras clave: marcado de agua, procesamiento de imágenes, transformada wavelet discreta. (es_ES)

Resumen (es_ES)

El marcado de agua en imágenes ha sido ampliamente usado con fines de protección de derechos de autor. Uno de los métodos utilizados para insertar la marca corresponde a QIM, y típicamente se realiza directamente sobre la imagen. La principal desventaja consiste en que el nivel de seguridad es bajo, y la marca se puede eliminar fácilmente si se conocen el valor del paso de cuantización utilizado. Con el propósito de aumentar la seguridad, proponemos una mejora al método QIM tradicional, aplicando la inserción en el dominio wavelet de la imagen, y solamente en algunos coeficientes de alta amplitud seleccionados de forma aleatoria por el sistema. De acuerdo a las pruebas realizadas, se pudo verificar que, si la imagen marcada es atacada de forma intencional, la marca recuperada tiene contenido legible. Adicionalmente, aumentamos la seguridad, dado que la clave de recuperación no solo depende del paso de cuantización, sino de la selección de los coeficientes wavelet.

Resumen (en_US)

Image watermarking has been widely used for copyright protection purposes. One of the methods used to insert the marker corresponds to QIM, and is typically done directly on the image. The main disadvantage is that the level of security is low, and the mark can be easily removed if the value of the quantization step used is known. In order to increase security, we propose an improvement to the traditional QIM method, applying the insertion in the wavelet domain of the image, and only in some high amplitude coefficients randomly selected by the system. According to the tests carried out, it was verified that, if the marked image is attacked intentionally, the recovered mark has a readable content. Additionally, we have increased security, since the recovery key depends not only on the quantization step, but also on the selection of the wavelet coefficients

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Cómo citar
Pinto, E., Ballesteros, D. M., & Renza, D. (2018). Marcado de audio mejorado en el dominio wavelet. Visión electrónica, 12(2), 198-207. https://doi.org/10.14483/22484728.14071
Publicado: 2018-11-08
Sección
Visión Investigadora

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