For image content authentication, a secure watermarking method using quantization-based embedding on the largest singular value (SV) is proposed. The block-wise quantization-based embedding can be vulnerable to vector...
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ISBN:
(纸本)0780388747
For image content authentication, a secure watermarking method using quantization-based embedding on the largest singular value (SV) is proposed. The block-wise quantization-based embedding can be vulnerable to vector quantization (VQ) attack and attacks associated with histogram analysis. To overcome these security problems, the proposed method places interdependency among image blocks and dithers the quantized value. By adjusting the threshold of the detector, a trade-off between the robustness to JPEG compression and the probability of misdetection can be made. The proposed method can detect a tampered area with high sensitivity. This is confirmed by experimental results and security analysis.
MPEG (Moving Pictures Expert Group) is an industrial standard for video processing and is widely used in multimedia applications in the Internet. However, no security provision is specified in the standard. We conduct...
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MPEG (Moving Pictures Expert Group) is an industrial standard for video processing and is widely used in multimedia applications in the Internet. However, no security provision is specified in the standard. We conducted an experimental study of previously proposed selective encryption schemes for MPEG video security. This study showed that these methods are inadequate for sensitive applications. We discuss the tradeoffs between levels of security and computational and compression efficiency.
Medical images such as mammograms and chest X-rays require resolution of the the order of 4096/spl times/4096 pixels with 10 to 16 bits per pixel. Because of the poor visualization and extreme sensitive nature of the ...
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Medical images such as mammograms and chest X-rays require resolution of the the order of 4096/spl times/4096 pixels with 10 to 16 bits per pixel. Because of the poor visualization and extreme sensitive nature of the information content, any information loss in storage and retrieval of medical information may not be acceptable. In this paper, an efficient lossless image compression scheme is proposed for high resolution medical images. The proposed method is based on two concepts: multibit plane slicing and variable block segmentation. It exploits the two basic image characteristics smoothness and similarity to achieve high compression efficiency. The proposed algorithm is applied to 12 and 16 bit mammogram images. The compression efficiency of the proposed algorithm is better than that obtained by other lossless compression schemes including the scheme based on the JPEG standard.
Due to the constraints on bandwidth and storage capacity, medical images must be compressed before transmission and storage. However, when the image is compressed, especially at lower bit rates, the image fidelity is ...
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Due to the constraints on bandwidth and storage capacity, medical images must be compressed before transmission and storage. However, when the image is compressed, especially at lower bit rates, the image fidelity is reduced, a situation which cannot be tolerated in the medical field. The paper studies the compression performance of the new JPEG2000 and the more conventional JPEG standards. The parameters compared include the compression efficiency, peak signal-to-noise ratio (PSNR), picture quality scale (PQS), and mean opinion score (MOS). Three types of medical images are used - X-ray, magnetic resonance imaging (MRI) and ultrasound. Overall, the study shows that JPEG2000 compression is more acceptable than, and superior to, JPEG in lossy compression.
Presents a strategy for generating optimal JPEG quantization tables to approximate a target compression ratio. This uses a model to express the quantization coefficients as functions of compression ratio and their pos...
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Presents a strategy for generating optimal JPEG quantization tables to approximate a target compression ratio. This uses a model to express the quantization coefficients as functions of compression ratio and their position in the quantization table. Simulated annealing of model parameters was used to find optimum models for an image which is a composite of several standard test images. Models of varying complexity with 1 to 6 parameters were optimized at three compression ratios, and a three parameter model was chosen to represent quantization tables. After further optimizations over a range of compressions, a general model was obtained by expressing each model parameter as a function of the compression. Application to three CCITT test pictures demonstrates the quality of recovered images.< >
This paper describes an embedded sinusoidal transform codec that is scalable not only in bit-rate, but also in sampling rate. In a representative implementation, the system produces an embedded bit-stream at 3.2 and 6...
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This paper describes an embedded sinusoidal transform codec that is scalable not only in bit-rate, but also in sampling rate. In a representative implementation, the system produces an embedded bit-stream at 3.2 and 6.4 kbit/s for telephone-bandwidth speech, and scales up to 9.6 kbit/s for 16 kHz sampled wideband speech. The 3.2 kbit/s codec is a sinusoidal transform codec with synthetic phases. The 6.4 kbit/s codec adds resolution to the spectral envelope and transmits measured phases of the eight lowest harmonics. The 9.6 kbit/s codec adds information in the 4 to 8 kHz band to provide higher quality wideband speech.
This paper proposes an efficient architecture, which can perform multiple 8×8 transforms for both H.264/AVC and VC-1 decoders. The hardware design which supports multiple standards becomes more and more important...
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This paper proposes an efficient architecture, which can perform multiple 8×8 transforms for both H.264/AVC and VC-1 decoders. The hardware design which supports multiple standards becomes more and more important. By designing a unique data flow for VC-1 8×8 inverse transform, the H.264/AVC and VC-1 8×8 inverse transforms are realized in a hardware sharing architecture. The proposed multiple transforms architecture contains fast one-dimensional (1-D) transforms and rounding operations. Simulation results show the proposed architecture takes 6,702 gates which are much less than the individual designs for the H.264/AVC and VC-1 8×8 inverse transforms.
Real time implementation of wavelet transformations is becoming of great importance, since it is one of the key elements of JPEG2000 and MPEG4 encoding operations. This paper details a dedicated wavelet decomposition ...
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Real time implementation of wavelet transformations is becoming of great importance, since it is one of the key elements of JPEG2000 and MPEG4 encoding operations. This paper details a dedicated wavelet decomposition implementation for ADSP-BF533 and ADSP-BF561 fixed-point DSPs, and reports experimental results on several test images.
The paper describes the implementation of a real time VAS (Video Aggregation System) on a parallel architecture based on a multiprocessor system with five C40 DSP's. Video aggregation of MPEG for a group of video ...
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The paper describes the implementation of a real time VAS (Video Aggregation System) on a parallel architecture based on a multiprocessor system with five C40 DSP's. Video aggregation of MPEG for a group of video sessions as a bundle is to perform compression and multiplexing of video streams before packetization (i.e. before the ATM layer). This system may be used to telesupervise factory processes when we need some video sources simultaneously.
A new paradigm for designing compressed image quality metric is proposed in this paper, of which the most significant characteristic is the use of mutual information, a key concept in information theory which measures...
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A new paradigm for designing compressed image quality metric is proposed in this paper, of which the most significant characteristic is the use of mutual information, a key concept in information theory which measures statistical dependence between two random variables, to exploring the degree of similarity of spatial visual information distribution across different frequency bands in image. Visual information used in the calculation of mutual information is extracted by contrast sensitivity function (CSF) and local band-limited contrast definition proposed by E. Peli. Our paradigm is more consistent with human perceptual mechanism comparing with the traditional error-summation based ones. The effectiveness of our image quality assessment paradigm is validated by JPEG & JPEG2000 compressed images at different bit rates and images with various types of noises.
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