Assessment of pelt quality in leather making using a novel non-invasive sensing approach

Mukhopadhyay, Subhas Chandra; Choudhury, Santanu Deb; Allsop, T.; Kasturi, Vimala Jayakrishna; Norris, Gillian E.

doi:10.1016/j.jbbm.2007.07.003

Cited by 36 publications

(15 citation statements)

References 6 publications

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“…The experiments were implemented on a set of images downloaded from the images database at Washington university [23,28,29] and Oklahoma University [24,30] (more than 500 images of JPEG type) and also some images from the special camera. Fundamental information hiding systems: capacity, security, and durability.…”

Section: Experimental and Resultsmentioning

confidence: 99%

A Novel Approach of Combining Steganography Algorithms

Jaheel

Zou

2015

International Journal on Smart Sensing and Intelligent Systems

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Abstract-Steganography is the act of hiding a message inside another message in such a way that the hidden message can only be detected by its intended recipient. In this paper, we combined two steganography algorithms namely JSteg and OutGuess algorithms, in order to exploit the beneficial characteristics and features of both algorithms to enhance the protection level for secret images. In our proposed approach, the secret message (image) is first concealed inside another image using JSteg algorithm and the resultant stego-image is further hidden inside a final image using OutGuess 0.1 algorithm. In this combine approach, the tricky nature of hiding an already hidden message is using two different algorithms increases the level of difficulty for a third party to suspect the existence of a secret image in the first place or even successful decode the it. Besides that, the priority given to the choice of a good image size and type in this approach further disguises the secret image and increases the chances that the image could go unnoticed. Results after calculating the capacity and PSNR for images proved that our approach is a good and acceptable steganography system. The model presented here is based on JPEG images.

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Section: Experimental and Resultsmentioning

confidence: 99%

A Novel Approach of Combining Steganography Algorithms

Jaheel

Zou

2015

International Journal on Smart Sensing and Intelligent Systems

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“…Digital products including image, video, audio text, corresponding watermark video watermarking, digital watermarking, digital watermarking [18][19].…”

Section: Classification Of Digital Watermarkingmentioning

confidence: 99%

Digital Image Watermarking Algorithms Based on Dual Transform Domain and Self-Recovery

Zhu

2015

International Journal on Smart Sensing and Intelligent Systems

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Abstract-In view of dual watermarking algorithm for dual two value image watermarking, the watermark information there is a gray image watermarking in the expression is obviously insufficient. The proposed embedded in the carrier image on the dual watermark includes a two watermark image and a gray image watermarking algorithm, the persuasive power while maintaining the original two values of the watermark robustness at the same time, improve the watermark information. In order to balance the robustness and invisibility of watermarking algorithm, this paper analyzes the embedding position and strategy of transform domain algorithms, the DC coefficient in the carrier image is divided into blocks of DCT spectrum and spectrum on the combination of DWT coefficient method and the advantage of embedded dual watermarking, and use the NEC characteristic of the algorithm is improved adaptive based on the embedded mode. The gray image watermark bit plane decomposition compression high four bit plane information as watermarking, in reducing the original watermark loading and enhance the overall strength of self recovery system. This paper from the working principle, classification of digital watermarking, attack types, performance index, evaluation method and uses six aspects were introduced to the digital watermarking technology. Simulation study of a digital image watermarking algorithm based on DCT transform and Arnold transform, the algorithm's imperceptibility, robustness and security are analyzed, the algorithm for embedding process.

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“…(Berggren et al, 2001;Limbut et al, 2007;Radke and Alocilja, 2005). These type of sensors have been used for quality monitoring of dairy, meat and leather products (Mukhopadhyay et al, 2008(Mukhopadhyay et al, , 2005(Mukhopadhyay et al, , 2006Mukhopadhyay, 2007;Mukhopadhyay and Gooneratne, 2007).…”

Section: Introductionmentioning

confidence: 99%