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Soo Ngee Koh - One of the best experts on this subject based on the ideXlab platform.

  • a fully scalable audio coding structure with embedded psychoacoustic model
    International Conference on Acoustics Speech and Signal Processing, 2008
    Co-Authors: Susanto Rahardja, Soo Ngee Koh
    Abstract:

    A fully scalable audio coding structure based on a novel combination of the non-core MPEG-4 scalable lossless audio coding (SLS), the state-of-the-art psychoacoustic model, joint stereo coding and the perceptually prioritized Bit-Plane coding is presented in this paper. The psychoacoustic information is implicitly embedded in the scalable Bitstream with negligible amount of side information and trivial modification to the standardized SLS decoder. Results of extensive evaluation show that the subjective quality of scalable audio is improved significantly.

  • Frequency region-based prioritized Bit-Plane coding for scalable audio
    IEEE Transactions on Audio, Speech and Language Processing, 2008
    Co-Authors: Te Li, Susanto Rahardja, Soo Ngee Koh
    Abstract:

    A perceptually enhanced prioritized Bit-Plane audio coding algorithm is presented in this paper. According to the energy distribution in different frequency regions, the Bit-Planes are prioritized with optimized parameters. Based on the statistical modeling of the frequency spectrum, a much more simplified implementation of prioritized Bit-Plane coding is integrated with the recent release of MPEG-4 scalable lossless (SLS) audio coding structure by replacing the sequential Bit-Plane coding in the enhancement layer. With zero extra side information, trivial added complexity, and modification to the original SLS structure, extensive experimental results show that the perceptual quality of SLS with noncore and very low core Bit-rate is improved significantly in a wide range of Bit-rate combinations. Fully scalable audio coding up to lossless with much enhanced perceptual quality is thus achieved.

  • switchable Bit Plane coding for high definition advanced audio coding
    Conference on Multimedia Modeling, 2007
    Co-Authors: Susanto Rahardja, Soo Ngee Koh
    Abstract:

    Scalable audio coding technique such as MPEG-4 Scalable Lossless coding (SLS) is a unified solution for demands in high-compression perceptual audio and high-quality lossless audio. It provides a fine-grain scalable extension of the well-known MPEG-4 Advanced Audio Coding (AAC) perceptual audio coder up to fully lossless reconstruction at word lengths and sampling rates typically used for high-resolution audio. Recently, the combination of SLS and AAC is renamed as “High Definition Advanced Audio Coding” (HD-AAC). It is observed that HD-AAC can be further improved at intermediate enhancement Bitrate for many audio sequences when the core Bitrate is low. Based on this observation, a Switchable Bit-Plane Coding (SBPC) is proposed in this paper. The SBPC consists of a normal BPC and a Prioritized BPC (PBPC). The corresponding optimal Bit-Plane coding method is switched into action according to the residual energy distribution in different frequency ranges. With the SBPC, the Bit-Plane coding for scalable audio can be implemented in a perceptually more efficient manner, and the perceptual quality of the audio under aforementioned scenario is much improved and stable.

  • Perceptually Prioritized Bit-Plane Coding for High-Definition Advanced Audio Coding
    Eighth IEEE International Symposium on Multimedia (ISM'06), 2006
    Co-Authors: Susanto Rahardja, Te Li, Soo Ngee Koh
    Abstract:

    Wide Bitrate range scalability is now the latest trend in audio coding. A lot of efforts has been devoted to the development of algorithms for more efficient scalable audio coder that scales from very low Bitrate. Scalable audio coding technique such as MPEG-4 scalable lossless coding (SLS) offers a unified solution for high-compression perceptual audio and high-quality lossless audio. SLS provides a fine-grain scalable extension of the well-known MPEG-4 advanced audio coding (AAC) perceptual audio coder up to fully lossless reconstruction. Recently, the combination of SLS and AAC coder is renamed as "high definition advanced audio coding" (HD-AAC). It is observed that HD-AAC can be further improved at intermediate enhancement Bitrate when the core Bitrate is low. In this paper, a perceptually prioritized Bit-Plane coding (PPBPC) is proposed. With this novel coding scheme, the Bit-Plane coding is performed with priorities according to the perceptual information of the signal to be coded. By using this low-complexity structure with trivial extra side information, the Bit-Plane coding for scalable audio can be implemented in a perceptually more efficient manner and the quality of the audio under aforementioned scenario is greatly improved

Susanto Rahardja - One of the best experts on this subject based on the ideXlab platform.

  • Bit Plane coding for source with generalized gaussian distribution
    International Symposium on Multimedia, 2009
    Co-Authors: Haiyan Shu, Haibin Huang, Susanto Rahardja
    Abstract:

    Bit-Plane probability of data is a useful characteristic for many applications, such as entropy coding. Its value may vary according to the distribution of the data. In this paper, the Bit-Plane probability of data with generalized Gaussian distribution is analyzed. By studying the statistical characteristics of the sources and the Bit-Plane probability for Laplacian distribution, an approximated analytic description of Bit-Plane probability for generalized Gaussian distribution is presented. This approximation calculates the Bit-Plane probability with low computational cost. Simulation results show that, the proposed algorithm can well approximate the actual Bit-Plane probability. In addition, when the proposed algorithm is applied to audio Bit-Plane arithmetic coding, the coding efficiency is higher than that based on the Laplacian distribution assumption.

  • a fully scalable audio coding structure with embedded psychoacoustic model
    International Conference on Acoustics Speech and Signal Processing, 2008
    Co-Authors: Susanto Rahardja, Soo Ngee Koh
    Abstract:

    A fully scalable audio coding structure based on a novel combination of the non-core MPEG-4 scalable lossless audio coding (SLS), the state-of-the-art psychoacoustic model, joint stereo coding and the perceptually prioritized Bit-Plane coding is presented in this paper. The psychoacoustic information is implicitly embedded in the scalable Bitstream with negligible amount of side information and trivial modification to the standardized SLS decoder. Results of extensive evaluation show that the subjective quality of scalable audio is improved significantly.

  • Frequency region-based prioritized Bit-Plane coding for scalable audio
    IEEE Transactions on Audio, Speech and Language Processing, 2008
    Co-Authors: Te Li, Susanto Rahardja, Soo Ngee Koh
    Abstract:

    A perceptually enhanced prioritized Bit-Plane audio coding algorithm is presented in this paper. According to the energy distribution in different frequency regions, the Bit-Planes are prioritized with optimized parameters. Based on the statistical modeling of the frequency spectrum, a much more simplified implementation of prioritized Bit-Plane coding is integrated with the recent release of MPEG-4 scalable lossless (SLS) audio coding structure by replacing the sequential Bit-Plane coding in the enhancement layer. With zero extra side information, trivial added complexity, and modification to the original SLS structure, extensive experimental results show that the perceptual quality of SLS with noncore and very low core Bit-rate is improved significantly in a wide range of Bit-rate combinations. Fully scalable audio coding up to lossless with much enhanced perceptual quality is thus achieved.

  • switchable Bit Plane coding for high definition advanced audio coding
    Conference on Multimedia Modeling, 2007
    Co-Authors: Susanto Rahardja, Soo Ngee Koh
    Abstract:

    Scalable audio coding technique such as MPEG-4 Scalable Lossless coding (SLS) is a unified solution for demands in high-compression perceptual audio and high-quality lossless audio. It provides a fine-grain scalable extension of the well-known MPEG-4 Advanced Audio Coding (AAC) perceptual audio coder up to fully lossless reconstruction at word lengths and sampling rates typically used for high-resolution audio. Recently, the combination of SLS and AAC is renamed as “High Definition Advanced Audio Coding” (HD-AAC). It is observed that HD-AAC can be further improved at intermediate enhancement Bitrate for many audio sequences when the core Bitrate is low. Based on this observation, a Switchable Bit-Plane Coding (SBPC) is proposed in this paper. The SBPC consists of a normal BPC and a Prioritized BPC (PBPC). The corresponding optimal Bit-Plane coding method is switched into action according to the residual energy distribution in different frequency ranges. With the SBPC, the Bit-Plane coding for scalable audio can be implemented in a perceptually more efficient manner, and the perceptual quality of the audio under aforementioned scenario is much improved and stable.

  • Perceptually Prioritized Bit-Plane Coding for High-Definition Advanced Audio Coding
    Eighth IEEE International Symposium on Multimedia (ISM'06), 2006
    Co-Authors: Susanto Rahardja, Te Li, Soo Ngee Koh
    Abstract:

    Wide Bitrate range scalability is now the latest trend in audio coding. A lot of efforts has been devoted to the development of algorithms for more efficient scalable audio coder that scales from very low Bitrate. Scalable audio coding technique such as MPEG-4 scalable lossless coding (SLS) offers a unified solution for high-compression perceptual audio and high-quality lossless audio. SLS provides a fine-grain scalable extension of the well-known MPEG-4 advanced audio coding (AAC) perceptual audio coder up to fully lossless reconstruction. Recently, the combination of SLS and AAC coder is renamed as "high definition advanced audio coding" (HD-AAC). It is observed that HD-AAC can be further improved at intermediate enhancement Bitrate when the core Bitrate is low. In this paper, a perceptually prioritized Bit-Plane coding (PPBPC) is proposed. With this novel coding scheme, the Bit-Plane coding is performed with priorities according to the perceptual information of the signal to be coded. By using this low-complexity structure with trivial extra side information, the Bit-Plane coding for scalable audio can be implemented in a perceptually more efficient manner and the quality of the audio under aforementioned scenario is greatly improved

Te Li - One of the best experts on this subject based on the ideXlab platform.

  • Frequency region-based prioritized Bit-Plane coding for scalable audio
    IEEE Transactions on Audio, Speech and Language Processing, 2008
    Co-Authors: Te Li, Susanto Rahardja, Soo Ngee Koh
    Abstract:

    A perceptually enhanced prioritized Bit-Plane audio coding algorithm is presented in this paper. According to the energy distribution in different frequency regions, the Bit-Planes are prioritized with optimized parameters. Based on the statistical modeling of the frequency spectrum, a much more simplified implementation of prioritized Bit-Plane coding is integrated with the recent release of MPEG-4 scalable lossless (SLS) audio coding structure by replacing the sequential Bit-Plane coding in the enhancement layer. With zero extra side information, trivial added complexity, and modification to the original SLS structure, extensive experimental results show that the perceptual quality of SLS with noncore and very low core Bit-rate is improved significantly in a wide range of Bit-rate combinations. Fully scalable audio coding up to lossless with much enhanced perceptual quality is thus achieved.

  • Perceptually Prioritized Bit-Plane Coding for High-Definition Advanced Audio Coding
    Eighth IEEE International Symposium on Multimedia (ISM'06), 2006
    Co-Authors: Susanto Rahardja, Te Li, Soo Ngee Koh
    Abstract:

    Wide Bitrate range scalability is now the latest trend in audio coding. A lot of efforts has been devoted to the development of algorithms for more efficient scalable audio coder that scales from very low Bitrate. Scalable audio coding technique such as MPEG-4 scalable lossless coding (SLS) offers a unified solution for high-compression perceptual audio and high-quality lossless audio. SLS provides a fine-grain scalable extension of the well-known MPEG-4 advanced audio coding (AAC) perceptual audio coder up to fully lossless reconstruction. Recently, the combination of SLS and AAC coder is renamed as "high definition advanced audio coding" (HD-AAC). It is observed that HD-AAC can be further improved at intermediate enhancement Bitrate when the core Bitrate is low. In this paper, a perceptually prioritized Bit-Plane coding (PPBPC) is proposed. With this novel coding scheme, the Bit-Plane coding is performed with priorities according to the perceptual information of the signal to be coded. By using this low-complexity structure with trivial extra side information, the Bit-Plane coding for scalable audio can be implemented in a perceptually more efficient manner and the quality of the audio under aforementioned scenario is greatly improved

Christopher G Owen - One of the best experts on this subject based on the ideXlab platform.

  • an approach to localize the retinal blood vessels using Bit Planes and centerline detection
    Computer Methods and Programs in Biomedicine, 2012
    Co-Authors: Muhammad Moazam Fraz, Sarah Barman, Paolo Remagnino, Andreas Hoppe, Abdul Basit, Bunyarit Uyyanonvara, Alicja R Rudnicka, Christopher G Owen
    Abstract:

    The change in morphology, diameter, branching pattern or tortuosity of retinal blood vessels is an important indicator of various clinical disorders of the eye and the body. This paper reports an automated method for segmentation of blood vessels in retinal images. A unique combination of techniques for vessel centerlines detection and morphological Bit Plane slicing is presented to extract the blood vessel tree from the retinal images. The centerlines are extracted by using the first order derivative of a Gaussian filter in four orientations and then evaluation of derivative signs and average derivative values is performed. Mathematical morphology has emerged as a proficient technique for quantifying the blood vessels in the retina. The shape and orientation map of blood vessels is obtained by applying a multidirectional morphological top-hat operator with a linear structuring element followed by Bit Plane slicing of the vessel enhanced grayscale image. The centerlines are combined with these maps to obtain the segmented vessel tree. The methodology is tested on three publicly available databases DRIVE, STARE and MESSIDOR. The results demonstrate that the performance of the proposed algorithm is comparable with state of the art techniques in terms of accuracy, sensitivity and specificity.

Rangaraj M Rangayyan - One of the best experts on this subject based on the ideXlab platform.

  • improved joint bilevel image experts group jbig data compression of continuous tone images
    Visual Communications and Image Processing, 1996
    Co-Authors: Liang Shen, Rangaraj M Rangayyan
    Abstract:

    Lossless compression techniques are essential in some applications, such as archival and communication of medical images. In this paper, an improvement on the Joint Bi-level Image Experts Group (JBIG) method for continuous-tone image compression is proposed, which is basically an innovative combination of multiple decorrelation procedures, namely a lossless JPEG (Joint Photographic Experts Group)-based predictor, a transform-based inter-Bit-Plane decorrelator, and JBIG-based intra-Bit-Plane decorrelator. Our improved JBIG coding scheme outperformed lossless JPEG coding, JBIG coding, and the best mode of CREW coding (compression with reversible embedded wavelets), on the average Bit rate, by 0.56 (8 Bits/component images only), 0.14, and 0.12 Bits per pixel with the JPEG standard set of 23 continuous-tone test images. Our compression technique could be easily incorporated into currently existing JBIG-based products. A proper high-order entropy estimation algorithm is also presented, which indicates the potentially achievable lower bound Bit rate, and should be useful in decorrelation analysis as well as in the design of cascaded decorrelators.© (1996) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.

  • improved joint bi level image experts group jbig data compression of continuous tone images
    Proceedings of SPIE the International Society for Optical Engineering, 1996
    Co-Authors: Liang Shen, Rangaraj M Rangayyan
    Abstract:

    Lossless compression techniques are essential in some applications, such as archival and communication of medical images. In this paper, an improvement on the Joint Bi-level Image Experts Group (JBIG) method for continuous-tone image compression is proposed, which is basically an innovative combination of multiple decorrelation procedures, namely a lossless JPEG (Joint Photographic Experts Group)-based predictor, a transform-based inter-Bit-Plane decorrelator, and JBIG-based intra-Bit-Plane decorrelator. Our improved JBIG coding scheme outperformed lossless JPEG coding, JBIG coding, and the best mode of CREW coding (Compression with Reversible Embedded Wavelets), on the average Bit rate, by 0.56 (8 Bits/component images only), 0.14, and 0.12 Bits per pixel with the JPEG standard set of 23 continuous-tone test images. Our compression technique could be easily incorporated into currently existing JBIG-based products. A proper high-order entropy estimation algorithm is also presented, which indicates the potentially achievable lower bound Bit rate, and should be useful in decorrelation analysis as well as in the design of cascaded decorrelators.