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Digital image watermarking scheme based on histogram in DWT domain

Digital image watermarking scheme based on histogram in DWT ...

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作者： Yuan, Xiao-Chen Pun, Chi-Man Department of Computer and Information Science University of Macau China

ISBN: (纸本)9788988678275

A robust and geometric invariant digital watermarking scheme for gray-level images is proposed in this paper. The scheme carries out watermark embedding and extraction based on histogram in DWT domain. For watermark embedding, the original image is decomposed into the approximation and details sub-bands. Pixels of the approximation sub-band are grouped into m blocks, each of which has the same number of intensity-levels, thus the block histogram is generated;with the block histogram, pixels are moved to form a specific pattern in the intensity-level histogram distribution, indicating the watermark. For watermark extraction, the watermarked image is decomposed into the approximation and details sub-bands;then the pixels in the approximation sub-band are grouped into blocks in the similar manner. According to the histogram distribution in each block, the watermark is extracted. Experimental results show that the proposed scheme is highly robust against JPEG compression, geometric attacks and some common signal processing.

关键词： Discrete wavelet transforms

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Comparative study on wavelet transform and traditional image processing

Comparative study on wavelet transform and traditional image...

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International conference on Information Sciences and Interaction Sciences (ICIS)

作者： Xiaoping Li Lin Zhang Hongjian Dong Jianqiang Xu Department of Computer Science and Technology Beijing Institute of Technology Beijing China

wavelet technology is applied to direct the traffic of Olympic Games to locate and identify various vehicles. License plate recognition algorithm is always on the basis of Fourier transform theory. However, when expressing signal through Fourier, all frequencies it contains can be determined but when they appear cannot be determined. Apply wavelet transform theory to the whole process of license plate recognition, and give a comparison between wavelet and Fourier transform after a deep research on the theory of wavelet for the further applications in solving the anti-jamming problems of license plate recognition.

关键词： wavelet transforms image processing Frequency wavelet analysis Vehicles Licenses Fourier transforms image converters signal processing Computer science

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A sparsity-distortion-optimized multiscale representation of geometry

A sparsity-distortion-optimized multiscale representation of...

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IEEE International conference on image processing

作者： Osman G. Sezer Yucel Altunbasak Onur G. Guleryuz Center of Signal and Image Processing Georgia Institute of Technology Atlanta GA USA DoCoMo Communications Laboratory USA Inc. Palo Alto CA USA

This paper describes the construction of a new multiresolutional decomposition with applications to image compression. The proposed method designs sparsity-distortion-optimized orthonormal transforms applied in wavelet domain to arrive at a multiresolutional representation which we term the Sparse Multiresolutional Transform (SMT). Our optimization operates over sub-bands of given orientation and exploits the inter-scale and intra-scale dependencies of wavelet co-efficients over image singularities. The resulting SMT is substantially sparser than the wavelet transform and leads to compaction that can be exploited by well-known coefficient coders. Our construction deviates from the literature, which mainly focuses on model-based methods, by offering a data-driven optimization of wavelet representations. Simulation experiments show that the proposed method consistently offers better performance compared to the original wavelet-representation and can reach up to 1dB improvements within state-of-the-art coefficient coders.

关键词： wavelet transforms image coding signal resolution image resolution Codecs Optimization

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Hybrid DWT-DCT algorithm for biomedical image and video compression applications

Hybrid DWT-DCT algorithm for biomedical image and video comp...

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International Symposium on signal processing and Its applications (ISSPA)

作者： Suchitra Shrestha Khan Wahid Multimedia Processing and Prototyping Laboratory Department of Electrical and Computer Engineering University of Saskatchewan SAS Canada

Digital image and video in their raw form require an enormous amount of storage capacity. Considering the important role played by digital imaging and video in medical and health science, it is necessary to develop a system that produces high degree of compression while preserving critical image/video information. In this paper, we present a hybrid algorithm that performs the discrete cosine transform on the discrete wavelet transform coefficients. Simulation has been carried out on several medical and endoscopic images and videos. The results show that the proposed hybrid algorithm performs much better in term of peak-signal-to-noise-ratio with a higher compression ratio compared to standalone DCT and DWT algorithms. The scheme is intended to be used as the image/video compressor engine in medical imaging and video applications, such as, telemedicine and wireless capsule endoscopy.

关键词： image resolution Larynx Biomedical imaging Quantization Discrete wavelet transforms Computed tomography

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Multifractal analysis for texture characterization: A new approach based on DWT

Multifractal analysis for texture characterization: A new ap...

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International Symposium on signal processing and Its applications (ISSPA)

作者： Abdeldjalil Ouahabi Signal & Image Group Ecole Polytechnique de I'Universite de Tours Tours FRANCE

Texture characterization, which measures the fluctuations of image amplitude regularity in space, now often uses fractal and multifractal analysis. The present contribution deals with a multifractal approach in ultrasound skin images to characterize melanoma. In this paper, we propose to build new hierarchical multiresolutions quantities: Maximum coefficients of the Discrete wavelet Transform for 2D Multifractal analysis. The performance of the proposed texture descriptors was evaluated for 2D synthetic processes and biomedical texture classification.

关键词： Lead Fractals Biomedical imaging Discrete wavelet transforms

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Orientation Tree Structure Based wavelet/VQ Multiple Description Coding

Orientation Tree Structure Based Wavelet/VQ Multiple Descrip...

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International conference on Pervasive Computing signal processing and applications (PCSPA)

作者： Lin-Lin Tang Shu-Chuan Chu John Roddick Department of Computer Science and Technology Shenzhen Graduate School Harbin Institute of Technology Shenzhen China School of Computer Science Engineering and Mathematics Flinders University of South Australia Adelaide SA Australia

Multiple Description Coding (MDC) as an efficient method to solve the network fading problems, has been paid more and more attention these years. A novel three-channel MDC framework based on the orientation tree structure of the wavelet image and Vector Quantization (VQ) coding algorithm is introduced in this paper. The redundancy is introduced by the repeated coding of the same orientation information with high and low encoding rates respectively. Good experimental results show efficiency of this new method and the comparison with other classical algorithms give us some future study directions.

关键词： image coding Algorithm design and analysis signal processing algorithms Redundancy Channel coding Vector quantization

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Face Recognition with Single Training image per Person Based on wavelet Transform and Virtual Information

Face Recognition with Single Training Image per Person Based...

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International conference on Pervasive Computing signal processing and applications (PCSPA)

作者： Yingnan Zhao Yan Ma Shiwei Ji School of Computer and Software Nanjing University of Information Science & Technology Nanjing China College of Physics Science & Information Engineering Jishou University Computer Science & Technology Jinshou China Nanjing University of Information Science and Technology Nanjing Jiangsu CN

One of the most challenging tasks for face recognition lies in the so-called one sample per person problem. Numerous face recognition techniques will suffer serious performance drop or even fail to work in this situation. To solving it, a method based on wavelet transform and virtual information (WV-based) is proposed in this paper. First, it performs the wavelet transform on face images, then it selects the lowest frequency part with less resolution and the major information comparing to the original. Second, it does small-angle rotation on the sample image to construct virtual samples. Finally, the PCA-based classify process is done. We use ORL face database to test our method and the experimental results show its practicality and efficiency.

关键词： Face recognition wavelet transforms Face Training Accuracy Databases

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An efficient skew detection of license plate images based on wavelet transform and principal component analysis

An efficient skew detection of license plate images based on...

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International conference on signal and image processing (ICSIP)

作者： Chirag N. Paunwala Suprava Patnaik Manoj Chaudhary Sarvajanik College of Engineering and Technology Gujarat Technical University Surat India S.V.National Institute of Technology Surat India

Character segmentation and recognition are imperative steps in the vehicle license plate recognition (VLPR) system. The skewed license plate affects badly on the accurate character segmentation and recognition. To solve the problem, an efficient approach for skew correction of license plate is proposed based on wavelet transform and principal component analysis. First, a skew feature image of the original VLP image, which preserves the license plate's horizontal feature, is extracted by the two level wavelet transform. By applying a threshold, the skew feature image is then transformed in to a binary image which helps to identify the feature points which are considered as the edge of characters on the license plate with a lined regulation which reflects the slant angle of the plate useful for principal component analysis. Using principal component analysis the direction of the principal component, which gives the information about tilted angle of the plate, is achieved with the help of feature points, then the correction of the plate is accomplished. Main advantage of the proposed method is simplicity with less computationally complexity, which makes it useful for real time applications.

关键词： Principal component analysis wavelet transforms Licenses Pixel wavelet analysis Cameras

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Speckle Reduction with Multiresolution Bilateral Filtering for SAR image

Speckle Reduction with Multiresolution Bilateral Filtering f...

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International conference on Machine Vision and Human-Machine Interface (MVHI)

作者： Bibo Lu Yongxia Ku School of Computer Science and Technology Henan Polytechnic University Jiaozuo China

Synthetic aperture radar (SAR) images are inherently affected by multiplicative speckle noise, which requires despeckle before many other image processing and analysis applications. In this paper, a new speckle reduction method based on wavelet and bilateral filtering is proposed. Bilatreal filtering is applied to the low frequency subbands of a signal obtained by wavelet transform. The new method preserves edges and protect details. Experimental results tested on real SAR images demonstrate the performance of the proposed method.

关键词： Speckle image resolution Filtering signal resolution Synthetic aperture radar Low-frequency noise image processing image analysis Frequency wavelet transforms

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Medical image Enhancement Algorithm Based on Contourlet Transform

Medical Image Enhancement Algorithm Based on Contourlet Tran...

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International conference on Pervasive Computing signal processing and applications (PCSPA)

作者： Aiping Jiang Ping Ren Pingyuan Yang Key Laboratory of Electronics Engineering College of Heilongjiang Province Heilongjiang University Harbin China 9th Oilfield of Daqing Oil Company Daqing China

A new medical image enhancement method aimed at optimizing contrast of image features while minimizing image noise is proposed in the paper based on contourlet transform using cycle spinning. We use the invariance contourlet to form the image representation and then deal with the contourlet coefficients with nonlinear transform as to enhance the details and meanwhile restrain the noise. The experiment results show that this method enhances the contrast of the image while avoiding over-enhancement of noise.

关键词： Noise image edge detection image enhancement Biomedical imaging wavelet transforms Filter bank

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