Wavelets for content based image retrieval and digital watermarking for multimedia applications

Chatterji, B. N.; Kokare, Manesh; Reddy, A. Adhipathi; Jha, Rajib Kumar

doi:10.1109/icics.2003.1292569

Cited by 4 publications

(2 citation statements)

References 12 publications

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“…To realize the detection process, DWT is realized on watermarked image. Watermark detection is based on cross correlation between the original watermark and the extracted watermark [35,36]. The block diagram for watermark extraction is shown in figure 5.…”

Section: Watermark Extraction Processmentioning

confidence: 99%

Logo based Image Copyright Protection using Discrete Wavelet Transform and Fuzzy Inference System

Jabade¹,

Gengaje²

2012

IJCA

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The digital revolution has resulted in explosion of knowledge. It has encouraged and motivated digitization of the intellectual artefact. This creates issues of piracy and copyright. In this paper, the authors propose a novel logo based watermarking scheme for image copyright protection using fuzzy inference system (FIS), discrete wavelet transform (DWT) and human visual system (HVS). Wavelet transform generates a hierarchical image data structure to represent an image at different resolution levels. The proposed scheme uses fuzzy inference system to adaptively insert logo watermark instead of using uniform thresholding. The weight of watermark is determined by human visual system characteristics and fuzzy inference system. The image is reconstructed by computing inverse discrete wavelet transform to get imperceptible image watermarking. The watermark is then recovered at the receiver end by applying DWT to watermarked image.

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Section: Watermark Extraction Processmentioning

confidence: 99%

Logo based Image Copyright Protection using Discrete Wavelet Transform and Fuzzy Inference System

Jabade¹,

Gengaje²

2012

IJCA

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show abstract

“…Studies have shown that a number of factors affect noise sensitivity of human eye like luminance, frequency band, texture, proximity to an edge. Human eye is less sensitive to noise in high resolution bands, bands having orientation of +45°, to noise in areas where brightness is high or low and to noise in highly textured areas [26][27]. The proposed scheme uses human visual characteristics to exploit human eye limitation to embed strong watermark which also maintains perceptual invisibility using bi-orthogonal wavelet transform.…”

Section: Human Visual System (Hvs)mentioning

confidence: 99%

Bi-orthogonal Wavelet based Adaptive Image Watermarking using Human Visual System and Fuzzy Inference System

Jabade¹,

Gengaje²

2013

IJCA

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Digital age today has shown increasing reliance on digital media and rapid distribution of digital contents. The issues of piracy and copyright are of immense concern in this exponentially increasing digital revolution. In this paper, authors propose use of bi-orthogonal wavelet transform as an effective tool to address copyright infringement issues. A synergistic combination of bi-orthogonal wavelet transform, human visual system characteristics and fuzzy inference system is arrived at to develop a novel adaptive image watermarking scheme. Logo watermark is used to prove ownership of digital property. A hierarchical data structure is generated using bi-orthogonal wavelet decomposition to represent an image. The reconstruction of image is achieved by computing inverse wavelet transform of modified wavelet coefficients. The unique feature of the proposed scheme is that fuzzy inference system is used to effectively establish relation between different HVS characteristics and adaptively adjusting embedding strength of watermark.

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Comparing the Capacity, NCC, and Fidelity of Various Quantization Intervals on DWT

Velpuru¹,

Rao²,

Rao³

et al. 2016

Advances in Intelligent Systems and Computing

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Wavelets for content based image retrieval and digital watermarking for multimedia applications

Cited by 4 publications

References 12 publications

Logo based Image Copyright Protection using Discrete Wavelet Transform and Fuzzy Inference System

Logo based Image Copyright Protection using Discrete Wavelet Transform and Fuzzy Inference System

Bi-orthogonal Wavelet based Adaptive Image Watermarking using Human Visual System and Fuzzy Inference System

Comparing the Capacity, NCC, and Fidelity of Various Quantization Intervals on DWT

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