Windowed modified discrete cosine transform based textural descriptor approach for voice disorder detection

Jegan, R.; R, Jayagowri

doi:10.1016/b978-0-323-91916-6.00007-2

Cited by 1 publication

(2 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It describes remarkably the image content through its texture. Similarly, LBP is efficient, robust to monotonic gray-scale changes caused, for example by illumination variations [29,30].…”

Section: Local Binary Patternmentioning

confidence: 99%

“…The robustness criterion can be measured by calculating the correlation coefficients (CC) and the Bit Error ratio (BER) between the original watermark and its corresponding extracted one. The principle of digital image correlation [30] is based on tracking information from a so-called reference image with the modified or interfered images, often called distorted images. This means that the correlation coefficient enables pixel tracking over the set of observed pixels.…”

Section: Imperceptibility and Robustnessmentioning

confidence: 99%

See 1 more Smart Citation

Toward a Robust Image Watermarking Method: Exploiting Human Visual System Properties in the Spatial Domain

Laouamer¹

2023

View full text Add to dashboard Cite

The need for secure and reliable methods to protect digital content from unauthorized manipulation has become increasingly critical. Although cryptography has been instrumental in addressing digital content security, it is not without shortcomings. In particular, symmetrical cryptographic systems exhibit significant vulnerabilities in encryption key protection, while asymmetric cryptosystems demand high computational time. Consequently, there is an urgent need to explore alternative security solutions to address these limitations. Watermarking has emerged as a promising candidate for ensuring integrity, authenticity, and digital rights protection. In this study, a novel, robust, and informed watermarking approach for color digital images in the spatial domain is proposed, leveraging Local Binary Pattern (LBP) operators for watermark generation. The embedding of the watermark is achieved in the blue channel of the Red, Green, Blue (RGB) image on its corresponding LBP image, owing to the low sensitivity of the blue color in relation to the imperceptibility of the embedded watermark. The proposed approach is evaluated against a diverse range of geometric and non-geometric attacks to demonstrate its reliability. In order to assess the performance of the proposed method in terms of imperceptibility and robustness, watermarked images are subjected to various attacks and analyzed using well-established metrics. The results obtained are highly encouraging, both in terms of the imperceptibility of the embedded watermarks and their robustness against different attack scenarios.

show abstract

“…It describes remarkably the image content through its texture. Similarly, LBP is efficient, robust to monotonic gray-scale changes caused, for example by illumination variations [29,30].…”

Section: Local Binary Patternmentioning

confidence: 99%

Section: Imperceptibility and Robustnessmentioning

confidence: 99%

Toward a Robust Image Watermarking Method: Exploiting Human Visual System Properties in the Spatial Domain

Laouamer¹

2023

View full text Add to dashboard Cite

show abstract

Windowed modified discrete cosine transform based textural descriptor approach for voice disorder detection

Cited by 1 publication

References 30 publications

Toward a Robust Image Watermarking Method: Exploiting Human Visual System Properties in the Spatial Domain

Toward a Robust Image Watermarking Method: Exploiting Human Visual System Properties in the Spatial Domain

Contact Info

Product

Resources

About