&lt;title&gt;Reconstruction of stereoscopic image using adaptive disparity estimation scheme&lt;/title&gt;

Bae, Kwang‐Hak; Lim, Song-Taek; Ko, Jung−Hwan; Kim, Eun-Soo

doi:10.1117/12.454926

Cited by 4 publications

(3 citation statements)

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“…In this paper, to reconstruct the watermarked right image from the received left image and disparity information, the FMA algorithm is employed [7,10].…”

Section: Stereo Image Reconstruction By Fma Algorithmmentioning

confidence: 99%

<title>Stereo watermarking scheme based on discrete wavelet transform and feature-based window matching algorithm</title>

Hwang

Park

et al. 2004

Multimedia Systems and Applications VII

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In this paper, a stereo image watermarking scheme using discrete wavelet transform (DWT) and feature-based window maching algorithm(FMA) is proposed. A watermark data is embedded into the right image of a stereo image pair by using the DWT algorithm and disparity data is extracted from the left and watermarked right images. And then, disparity data and the left image are transmitted to the recipient through the communication channel. At the receiver, the watermarked right image is reconstructed from the received left image and disparity data by employing the FMA. From the difference between the watermarked and original right images, the embedded watermark image can be finally extracted. From experiments using the stereo image pair of 'Friends' and a watermark data of '3DRC', it is found that PSNR of the watermark image extracted from the reconstructed right image through the FMA and DWT algorithms can be increased up to 2.87dB, 2.58dB on average by comparing with those of the FMA and DCT algorithm when the quantizer scale(Q.S) is kept to be 16 and 20, respectively.

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“…In this paper, to reconstruct the watermarked right image from the received left image and disparity information, the FMA algorithm is employed [7,10].…”

Section: Stereo Image Reconstruction By Fma Algorithmmentioning

confidence: 99%

<title>Stereo watermarking scheme based on discrete wavelet transform and feature-based window matching algorithm</title>

Hwang

Park

et al. 2004

Multimedia Systems and Applications VII

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“…In this paper, to reconstruct the watermarked right image using the received left image and disparity information, an adaptive disparity-matching algorithm is employed [14]. Initially, the extracted feature values are normalized, so that the threshold value is optionally set into several steps in the range of 0~1.…”

Section: Stereo Image Reconstruction By Adaptive Matching Algorithmmentioning

confidence: 99%

<title>Stereo image watermarking scheme based on discrete wavelet transform and adaptive disparity estimation</title>

2004

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In this paper, a new stereo image watermarking scheme using the discrete wavelet transform (DWT) and adaptive disparity estimation is proposed. First, a watermark data is embedded into the right image of a stereo image pair by using the conventional DWT operation. Here, the right image is decomposed into three-level by DWT and then the watermark is embedded into DWT coefficients using the characteristics of the human visual system. Second, the disparity data is extracted by using the watermarked right image and the left image. And then, both of this extracted disparity data and the left image are transmitted to the recipient through the communication channel. At the receiver, the watermarked right image is reconstructed from the received left image and disparity data by use of the adaptive matching algorithm. Basing on the difference between the discrete wavelet-transformed watermarked image and original right image, the embedded watermark image can be extracted from this reconstructed right image. From some experiments using the stereo images of the CCETT's 'Manege' and a watermark image of English alphabet 'NRL', it is found that the PSNRs of the reconstructed right images by using the proposed algorithm improve to 7.6dB for 'Manege' on average by comparing with those of the reconstructed right images through the conventional pixel-based matching algorithm, block-based matching algorithm and DWT-based algorithms. At the same time the PSNRs of the watermark image extracted from these reconstructed right images also improve to 6.51dB on average for 'Manege' images, respectively. These experimental results also suggest a possibility of practical implementation of the stereo image watermarking system based-on the adaptive matching algorithm and the discrete wavelet transform.

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“…In this paper, to reconstruct the watermarked right image using the received left image and disparity information, an adaptive disparity matching algorithm is employed [15]. Initially, the extracted feature values are normalized, so that the threshold value is optionally set into several steps in the range of 0~1.…”

Section: Stereo Image Reconstruction By Adaptive Matching Algorithmmentioning

confidence: 99%

New watermark scheme for copyright protection of the stereovision system using adaptive disparity matching algorithm

et al. 2003

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In this paper, a new watermark scheme for copyright protection of the stereo vision system using adaptive disparity matching algorithm is proposed. That is, the right image of a stereo image is formulated to 8 8 blocks, in which each block is composed of 64 64 and the DCT coefficients for each of these blocks are computed and then, a specific watermark image having 64 64 pixels is embedded into these DCT coefficients. After disparity information is extracted from both of the watermarked right image and left image using a matching algorithm, the left image and disparity information is transmitted to the recipient through the communication channel. Then, the watermark is extracted from the reconstructed stereo image using the same seed value used in the embedding process. The watermark is extracted from the reconstructed right image as a result extraction performance of a watermark tightly depends on the employed disparity matching algorithms. From some experiments using a sequential stereo image of 'Fichier' and the watermark image of English alphabet, it is shown that PSNR of the extracted watermark image from the reconstructed image by using an adaptive disparity matching algorithm improves to 3.68 dB on average by comparing with those of the pixel and block-matching algorithms.

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<title>Reconstruction of stereoscopic image using adaptive disparity estimation scheme</title>

Cited by 4 publications

References 0 publications

<title>Stereo watermarking scheme based on discrete wavelet transform and feature-based window matching algorithm</title>

<title>Stereo watermarking scheme based on discrete wavelet transform and feature-based window matching algorithm</title>

<title>Stereo image watermarking scheme based on discrete wavelet transform and adaptive disparity estimation</title>

New watermark scheme for copyright protection of the stereovision system using adaptive disparity matching algorithm

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