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Zhicheng Ni - One of the best experts on this subject based on the ideXlab platform.

  • Robust lossless image data hiding designed for semi-fragile image authentication
    IEEE Transactions on Circuits and Systems for Video Technology, 2008
    Co-Authors: Zhicheng Ni, Yun Q. Shi, Qibin Sun, Nirwan Ansari, Wei Su, Xiao Lin
    Abstract:

    Recently, among various data hiding techniques, a new subset, lossless data hiding, has received increasing interest. Most of the existing lossless data hiding algorithms are, however, fragile in the sense that the hidden data cannot be extracted out correctly after compression or other incidental alteration has been applied to the stego-image. The only existing semi-fragile (referred to as robust in this paper) lossless data hiding technique, which is robust against high-quality JPEG compression, is based on modulo-256 addition to achieve losslessness. In this paper, we first point out that this technique has suffered from the annoying salt-and-Pepper Noise caused by using modulo-256 addition to prevent overflow/underflow. We then propose a novel robust lossless data hiding technique, which does not generate salt-and-Pepper Noise. By identifying a robust statistical quantity based on the patchwork theory and employing it to embed data, differentiating the bit-embedding process based on the pixel group's distribution characteristics, and using error correction codes and permutation scheme, this technique has achieved both losslessness and robustness. It has been successfully applied to many images, thus demonstrating its generality. The experimental results show that the high visual quality of stego-images, the data embedding capacity, and the robustness of the proposed lossless data hiding scheme against compression are acceptable for many applications, including semi-fragile image authentication. Specifically, it has been successfully applied to authenticate losslessly compressed JPEG2000 images, followed by possible transcoding. It is expected that this new robust lossless data hiding algorithm can be readily applied in the medical field, law enforcement, remote sensing and other areas, where the recovery of original images is desired.

  • A Semi-Fragile Lossless Digital Watermarking Scheme Based on Integer Wavelet Transform
    IEEE Transactions on Circuits and Systems for Video Technology, 2006
    Co-Authors: Zhicheng Ni, Wei Su
    Abstract:

    In this paper, a new semi-fragile lossless digital watermarking scheme based on integer wavelet transform is presented. The wavelet family applied is the 5/3 filter bank which serves as the default transformation in the JPEG2000 standard for image lossless compression. As a result, the proposed scheme can be integrated into the JPEG2000 standard smoothly. Different from the only existing semi-fragile lossless watermarking scheme which uses modulo-256 addition, this method takes special measures to prevent overflow/underflow and hence does not suffer from annoying salt-and-Pepper Noise. The original cover image can be losslessly recovered if the stego-image has not been altered. Furthermore, the hidden data can be retrieved even after incidental alterations including image compression have been applied to the stego-image

  • A semi-fragile lossless digital watermarking scheme based on integer wavelet transform
    IEEE 6th Workshop on Multimedia Signal Processing 2004., 2004
    Co-Authors: Zhicheng Ni
    Abstract:

    In this paper, a new semi-fragile lossless digital watermarking scheme based on integer wavelet transform (IWT) is presented. Data are embedded into some IWT coefficients. The wavelet family applied is the 5/3 filter bank which serves as the default transformation in the JPEG2000 standard for image lossless compression. As a result, the proposed scheme can be integrated into the JPEG2000 standard smoothly. Different from the only existing semi-fragile lossless watermarking scheme, instead of using modulo 256 addition, this method takes special measures that prevents overflow/underflow (one of critical issue for lossless watermarking) and hence does not suffer from annoying salt-and-Pepper Noise. The exact cover media can be losslessly recovered if the stegoimage has not been altered. Furthermore, the hidden data can be extracted with no error even after incidental alterations, including compression, have been applied to the stegoimage (thus named after "semi-fragile").

Wei Su - One of the best experts on this subject based on the ideXlab platform.

  • Robust lossless image data hiding designed for semi-fragile image authentication
    IEEE Transactions on Circuits and Systems for Video Technology, 2008
    Co-Authors: Zhicheng Ni, Yun Q. Shi, Qibin Sun, Nirwan Ansari, Wei Su, Xiao Lin
    Abstract:

    Recently, among various data hiding techniques, a new subset, lossless data hiding, has received increasing interest. Most of the existing lossless data hiding algorithms are, however, fragile in the sense that the hidden data cannot be extracted out correctly after compression or other incidental alteration has been applied to the stego-image. The only existing semi-fragile (referred to as robust in this paper) lossless data hiding technique, which is robust against high-quality JPEG compression, is based on modulo-256 addition to achieve losslessness. In this paper, we first point out that this technique has suffered from the annoying salt-and-Pepper Noise caused by using modulo-256 addition to prevent overflow/underflow. We then propose a novel robust lossless data hiding technique, which does not generate salt-and-Pepper Noise. By identifying a robust statistical quantity based on the patchwork theory and employing it to embed data, differentiating the bit-embedding process based on the pixel group's distribution characteristics, and using error correction codes and permutation scheme, this technique has achieved both losslessness and robustness. It has been successfully applied to many images, thus demonstrating its generality. The experimental results show that the high visual quality of stego-images, the data embedding capacity, and the robustness of the proposed lossless data hiding scheme against compression are acceptable for many applications, including semi-fragile image authentication. Specifically, it has been successfully applied to authenticate losslessly compressed JPEG2000 images, followed by possible transcoding. It is expected that this new robust lossless data hiding algorithm can be readily applied in the medical field, law enforcement, remote sensing and other areas, where the recovery of original images is desired.

  • A Semi-Fragile Lossless Digital Watermarking Scheme Based on Integer Wavelet Transform
    IEEE Transactions on Circuits and Systems for Video Technology, 2006
    Co-Authors: Zhicheng Ni, Wei Su
    Abstract:

    In this paper, a new semi-fragile lossless digital watermarking scheme based on integer wavelet transform is presented. The wavelet family applied is the 5/3 filter bank which serves as the default transformation in the JPEG2000 standard for image lossless compression. As a result, the proposed scheme can be integrated into the JPEG2000 standard smoothly. Different from the only existing semi-fragile lossless watermarking scheme which uses modulo-256 addition, this method takes special measures to prevent overflow/underflow and hence does not suffer from annoying salt-and-Pepper Noise. The original cover image can be losslessly recovered if the stego-image has not been altered. Furthermore, the hidden data can be retrieved even after incidental alterations including image compression have been applied to the stego-image

Abdullah Toprak - One of the best experts on this subject based on the ideXlab platform.

  • mr images restoration with the use of fuzzy filter having adaptive membership parameters
    Journal of Medical Systems, 2008
    Co-Authors: Abdullah Toprak, Ayse Demirhan, Rukiye Karakis
    Abstract:

    A new fuzzy adaptive median filter is presented for the Noise reduction of magnetic resonance images corrupted with heavy impulse (salt and Pepper) Noise. In this paper, we have proposed a Fuzzy Adaptive Median Filter with Adaptive Membership Parameters (FAMFAMP) for removing highly corrupted salt and Pepper Noise, with preserving image edges and details. The FAMFAMP filter is an improved version of Adaptive Median Filter (AMF) and is presented in the aim of Noise reduction of images corrupted with additive impulse Noise. The proposed filter can preserve image details better than AMF while suppressing additive salt and Pepper or impulse type Noise. In this paper, we placed our preference on bell-shaped membership function with adaptive parameters instead of triangular membership function without variable coefficients in order to observe better results.

  • impulse Noise reduction in medical images with the use of switch mode fuzzy adaptive median filter
    Digital Signal Processing, 2007
    Co-Authors: Abdullah Toprak, Inan Guler
    Abstract:

    In this paper, a novel fuzzy adaptive median filter is presented for the Noise reduction in MR images corrupted with heavy impulse (salt&Pepper) Noise. We propose a switch mode fuzzy adaptive median filter (SMFAMF) for removing highly corrupted salt&Pepper Noise without destroying edges and details in the image. The SMFAMF filter is an improved version of adaptive median filter (AMF) in order to reduce additive impulse Noise in the images. The proposed filter can preserve details in the images better than AMF while suppressing additive salt&Pepper or impulse type Noises. In this paper, we placed our preference on bell-shaped membership function with adaptive parameters instead of triangular membership function without variable coefficients in order to observe better results. Experiments with the magnetic resonance (MR) image from healthy subject, an MR image having the opaque material, and an MR image having disease demonstrate the mean square error (MSE), root mean square error (RMSE), signal-to-Noise ratio (SNR), and peak signal-to-Noise ratio (PSNR) of the proposed method. The results show that the proposed method can be useful for MR images with impulse type Noises.

  • suppression of impulse Noise in medical images with the use of fuzzy adaptive median filter
    Journal of Medical Systems, 2006
    Co-Authors: Abdullah Toprak, Inan Guler
    Abstract:

    A new rule based fuzzy filter for removal of highly impulse Noise, called Rule Based Fuzzy Adaptive Median (RBFAM) Filter, is aimed to be discussed in this paper. The RBFAM filter is an improved version of Adaptive Median Filter (AMF) and is presented in the aim of Noise reduction of images corrupted with additive impulse Noise. The filter has three stages. Two of those stages are fuzzy rule based and last stage is based on standard median and adaptive median filter. The proposed filter can preserve image details better then AMF while suppressing additive salt&Pepper or impulse type Noise. In this paper, we placed our preference on bell-shaped membership function instead of triangular membership function in order to observe better results. Experimental results indicates that the proposed filter is improvable with increased fuzzy rules to reduce more Noise corrupted images and to remove salt and Pepper Noise in a more effective way than what AMF filter does.

Inan Guler - One of the best experts on this subject based on the ideXlab platform.

  • impulse Noise reduction in medical images with the use of switch mode fuzzy adaptive median filter
    Digital Signal Processing, 2007
    Co-Authors: Abdullah Toprak, Inan Guler
    Abstract:

    In this paper, a novel fuzzy adaptive median filter is presented for the Noise reduction in MR images corrupted with heavy impulse (salt&Pepper) Noise. We propose a switch mode fuzzy adaptive median filter (SMFAMF) for removing highly corrupted salt&Pepper Noise without destroying edges and details in the image. The SMFAMF filter is an improved version of adaptive median filter (AMF) in order to reduce additive impulse Noise in the images. The proposed filter can preserve details in the images better than AMF while suppressing additive salt&Pepper or impulse type Noises. In this paper, we placed our preference on bell-shaped membership function with adaptive parameters instead of triangular membership function without variable coefficients in order to observe better results. Experiments with the magnetic resonance (MR) image from healthy subject, an MR image having the opaque material, and an MR image having disease demonstrate the mean square error (MSE), root mean square error (RMSE), signal-to-Noise ratio (SNR), and peak signal-to-Noise ratio (PSNR) of the proposed method. The results show that the proposed method can be useful for MR images with impulse type Noises.

  • suppression of impulse Noise in medical images with the use of fuzzy adaptive median filter
    Journal of Medical Systems, 2006
    Co-Authors: Abdullah Toprak, Inan Guler
    Abstract:

    A new rule based fuzzy filter for removal of highly impulse Noise, called Rule Based Fuzzy Adaptive Median (RBFAM) Filter, is aimed to be discussed in this paper. The RBFAM filter is an improved version of Adaptive Median Filter (AMF) and is presented in the aim of Noise reduction of images corrupted with additive impulse Noise. The filter has three stages. Two of those stages are fuzzy rule based and last stage is based on standard median and adaptive median filter. The proposed filter can preserve image details better then AMF while suppressing additive salt&Pepper or impulse type Noise. In this paper, we placed our preference on bell-shaped membership function instead of triangular membership function in order to observe better results. Experimental results indicates that the proposed filter is improvable with increased fuzzy rules to reduce more Noise corrupted images and to remove salt and Pepper Noise in a more effective way than what AMF filter does.

D Ebenezer - One of the best experts on this subject based on the ideXlab platform.

  • fast switching based median mean filter for high density salt and Pepper Noise removal
    Aeu-international Journal of Electronics and Communications, 2014
    Co-Authors: V.r. Vijaykumar, Santhana G Mari, D Ebenezer
    Abstract:

    Abstract This paper proposes a fast switching based median–mean filter for high density salt and Pepper Noise in images. The extreme minimum value and extreme maximum value of the noisy image are used to identify the Noise pixels. In the filtering stage, the corrupted pixel is replaced either by median value or mean value based on the number of Noise free pixels in the filtering window. The qualitative and quantitative results show that the proposed filter outperforms the other switching based filters namely ACWMF, PSMF, AMF, DBA and MDBUTMF in terms of Noise removal and edge preservation for Noise densities varying from 10% to 90%.

  • a new switching based median filtering scheme and algorithm for removal of high density salt and Pepper Noise in images
    EURASIP Journal on Advances in Signal Processing, 2010
    Co-Authors: V Jayaraj, D Ebenezer
    Abstract:

    A new switching-based median filtering scheme for restoration of images that are highly corrupted by salt and Pepper Noise is proposed. An algorithm based on the scheme is developed. The new scheme introduces the concept of substitution of noisy pixels by linear prediction prior to estimation. A novel simplified linear predictor is developed for this purpose. The objective of the scheme and algorithm is the removal of high-density salt and Pepper Noise in images. The new algorithm shows significantly better image quality with good PSNR, reduced MSE, good edge preservation, and reduced streaking. The good performance is achieved with reduced computational complexity. A comparison of the performance is made with several existing algorithms in terms of visual and quantitative results. The performance of the proposed scheme and algorithm is demonstrated.

  • a new switching based median filtering scheme and algorithm for removal of high density salt and Pepper Noise in images
    EURASIP Journal on Advances in Signal Processing, 2010
    Co-Authors: V Jayaraj, D Ebenezer
    Abstract:

    A new switching-based median filtering scheme for restoration of images that are highly corrupted by salt and Pepper Noise is proposed. An algorithm based on the scheme is developed. The new scheme introduces the concept of substitution of noisy pixels by linear prediction prior to estimation. A novel simplified linear predictor is developed for this purpose. The objective of the scheme and algorithm is the removal of high-density salt and Pepper Noise in images. The new algorithm shows significantly better image quality with good PSNR, reduced MSE, good edge preservation, and reduced streaking. The good performance is achieved with reduced computational complexity. A comparison of the performance is made with several existing algorithms in terms of visual and quantitative results. The performance of the proposed scheme and algorithm is demonstrated.

  • a new and efficient algorithm for the removal of high density salt and Pepper Noise in images and videos
    International Conference on Computer Modeling and Simulation, 2010
    Co-Authors: K Aiswarya, V Jayaraj, D Ebenezer
    Abstract:

    A new and efficient algorithm for high-density salt and Pepper Noise removal in images and videos is proposed. The existing non-linear filter like Standard Median Filter (SMF), Adaptive Median Filter (AMF), Decision Based Algorithm (DBA) and Robust Estimation Algorithm (REA) shows better results at low and medium Noise densities. At high Noise densities, their performance is poor. A new algorithm to remove high-density salt and Pepper Noise using modified sheer sorting method is proposed. The new algorithm has lower computation time when compared to other standard algorithms. Results of the algorithm is compared with various existing algorithms and it is proved that the new method has better visual appearance and quantitative measures at higher Noise densities as high as 90%.

  • robust statistics based algorithm to remove salt and Pepper Noise in images
    World Academy of Science Engineering and Technology International Journal of Computer Electrical Automation Control and Information Engineering, 2009
    Co-Authors: V.r. Vijaykumar, P T Vanathi, P Kanagasabapathy, D Ebenezer
    Abstract:

    � Abstract—In this paper, a robust statistics based filter to remove salt and Pepper Noise in digital images is presented. The function of the algorithm is to detect the corrupted pixels first since the impulse Noise only affect certain pixels in the image and the remaining pixels are uncorrupted. The corrupted pixels are replaced by an estimated value using the proposed robust statistics based filter. The proposed method perform well in removing low to medium density impulse Noise with detail preservation upto a Noise density of 70% compared to standard median filter, weighted median filter, recursive weighted median filter, progressive switching median filter, signal dependent rank ordered mean filter, adaptive median filter and recently proposed decision based algorithm. The visual and quantitative results show the proposed algorithm outperforms in restoring the original image with superior preservation of edges and better suppression of impulse Noise Keywords—Image denoising, Nonlinear filter, Robust Statistics, and Salt and Pepper Noise.

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