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POISSON image RECONSTRUCTION WITH TOTAL VARIATION REGULARIZATION

POISSON IMAGE RECONSTRUCTION WITH TOTAL VARIATION REGULARIZA...

引用

IEEE International conference on image processing

作者： Willett, Rebecca M. Harmany, Zachary T. Marcia, Roummel F. Duke Univ Dept Elect & Comp Engn Durham NC 27708 USA Univ Calif Sch Nat Sci Merced CA 95348 USA

ISBN: (纸本)9781424479948

This paper describes an optimization framework for reconstructing nonnegative image intensities from linear projections contaminated with Poisson noise. Such Poisson inverse problems arise in a variety of applications, ranging from medical imaging to astronomy. A total variation regularization term is used to counter the ill-posedness of the inverse problem and results in reconstructions that are piece-wise smooth. The proposed algorithm sequentially approximates the objective function with a regularized quadratic surrogate which can easily be minimized. Unlike alternative methods, this approach ensures that the natural nonnegativity constraints are satisfied without placing prohibitive restrictions on the nature of the linear projections to ensure computational tractability. The resulting algorithm is computationally efficient and outperforms similar methods using wavelet-sparsity or partition-based regularization.

关键词： Photon-limited imaging Poisson noise total variation convex optimization sparse approximation

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Seamlets: Content-aware nonlinear wavelet transform

Seamlets: Content-aware nonlinear wavelet transform

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2010 IEEE International conference on Acoustics, Speech, and signal processing, ICASSP 2010

作者： Conger, David D. Radha, Hayder Kumar, Mrityunjay Michigan State University Dept. of Electrical and Computer Engineering East Lansing MI 48824-1226 United States Eastman Kodak Company Rochester NY 14650-2118 United States

ISBN: (纸本)9781424442966

With the rise of mobile media devices, resizing an image or video to fit a screen of arbitrary size has become an important topic. In general, arbitrary resizing does not preserve the original image aspect ratio, and hence, can introduce significant visual distortion. Content-aware retargeting methods have been proposed to preserve salient features of an image or video ([1][3][5][6]) even under arbitrary changing of the aspect ratio. While these are useful tools, little attention has been given to the development of an efficient retargeting-driven representation of images. Such representation, for example, can lead to efficient distribution of media destined for retargeting at a variety of devices with different aspect ratios. We propose a new framework, seamlets, which utilizes the discrete wavelet transform (DWT) to perform content-aware arbitrary media resizing. In essence, seamlets provide an efficient multi-resolution representation for retargeting applications. The seamlet transform elegantly generalizes the DWT and seam carving, which is an intriguing retargeting method. The result is a new image framework, seamlets, that inherits the benefits of retargeting and wavelets. ©2010 IEEE.

关键词： Discrete wavelet transforms

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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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3rd IEEE International conference on signal and image processing, ICSIP 2010

作者： Paunwala, Chirag N. Patnaik, Suprava Chaudhary, Manoj Sarvajanik College of Engg. and Tech. Gujarat Technical University Athwalines Surat India S.V.National Inst. of Tech. Ichhanath Surat India

ISBN: (纸本)9781424485949

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. ©2010 IEEE.

关键词： Principal component analysis

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wavelet use for reduction of watershed transform over-segmentation in biomedical images processing

Wavelet use for reduction of watershed transform over-segmen...

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10th International conference on Information Technology and applications in Biomedicine: Emerging Technologies for Patient Specific Healthcare, ITAB 2010

作者： Procházka, Aleš Vysata, Oldrich Jerhotova, Eva Department of Computing and Control Engineering Technická Street 5 166 28 Prague 6 Czech Republic Neurocenter Caregroup Jiráskova 1389 516 01 Rychnovnad Kněžnou Czech Republic

ISBN: (纸本)9781424465606

Problems of multi-dimensional signal enhancement, segmentation, feature extraction and components classification is essential in many engineering and biomedical applications. The paper is devoted to the use of watershed transform and wavelet transform for MR image components detection and discussion of over-segmentation problems. The goal of the paper is in (i) analysis of image de-noising, (ii) discussion of image enhancement, and (iii) multi-resolutional approach application for reduction of over-segmentation problems. Proposed lgorithms include the use of wavelet transform and gradient methods in the preprocessing stage and application of the watershed transform for enhanced images. Resulting algorithms are verified for simulated images and applied for a selected MR biomedical images containing different structures. © 2010 IEEE.

关键词： wavelet transforms

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A Novel Embedded Coding Algorithm Based on the Reconstructed DCT Coefficien

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2nd International conference on Computational Collective Intelligence: Technologies and applications

作者： Tang, Lin-Lin Pan, Jeng-Shyang Lu, Zhe-Ming Harbin Inst Technol Dept Comp Sci & Technol Shenzhen Grad Sch Shenzhen 518055 Peoples R China Natl Kaohsiung Univ Appl Sci Dept Elect Engn Kaohsiung Taiwan Zhejiang Univ Sch Aeronaut & Astronaut Hangzhou 310027 Peoples R China

ISBN: (纸本)9783642166952

As an efficient tool for image compression, wavelet has been widely used in all kinds of image processing areas. Based on the different encoding effects, wavelet compression algorithms can be probably classified into two categories. They are the embedded wavelet coding algorithms and the non-embedded wavelet coding algorithms. For the convenience of producing the anytime cut coding stream and the progressing reconstruction results, the embedded wavelet coding algorithms have been paid more attention in practice. Such as the embedded wavelet coding algorithms, EZW and SPIHT are the outstanding representatives. The only drawback for this wavelet based embedded coding algorithms is the choice of the different wavelet transform base. We propose a novel embedded coding algorithm based on the reconstructed DCT coefficient to avoid the difficulties brought by the choice of wavelet transform base in this paper. The new algorithm's efficiency can be seen from the experimental results.

关键词： image compression embedded wavelet coding algorithm DCT

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引用

2nd International conference on image Analysis and signal processing, IASP'2010

作者： Luo, Yanmin Liao, Minghong Zhan, Zhipeng Congnitive Science Dept. Fujian Key Lab. of the Brain-like Intelligent Systems Xiamen University Xiamen China College of Computer Science and Technology Huaqiao Universit Quanzhou China Software School of Xiamen University Xiamen China

ISBN: (纸本)9781424455553

Time-series data mining is a very important element of data mining. As a typical time-series data, video data has been widely used for many applications such as film, medical, sports and traffic areas. In this paper we integrates several technologies into the video moving object time-series data mining. We propose a similarity analysis and clustering algorithm for videos based on the moving trajectory time series data wavelet transform of the moving object in the videos. Utilizing the image difference technique, our algorithm detects the moving objects from the scene surveillance video, calculates the centroid of the moving object, and uses the centroid series to character the moving trajectory of the object. Then we use wavelet analysis method to achieve dimensionality reduction and get the first k wavelet coefficient to substitute the original motion timeserial data. Based on the Euclidean distance, we utilize two judgement rules to determine the similarity of time-serial data and cluster them, use the rules to perform the similarity search and clustering of video. We apply the algorithm to athletic sports videos analysis. © 2010 IEEE.

关键词： wavelet transforms

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Coding of mosaic image based on wavelet sub-band substitute

Coding of mosaic image based on wavelet sub-band substitute

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International conference on Pervasive Computing, signal processing and applications

作者： Cheng, Yongqiang Zhang, Xueying Wen, Junhai College of Information Engineering Taiyuan University of Technology Taiyuan China Life School Beijing Institute of Technology Beijing China

ISBN: (纸本)9780769541808

In this paper, we propose a visual lossless compression scheme of mosaic image based on wavelet sub-band substitute. The proposed compression scheme consists of three coding pipelines: green component lossless coder, red component near-lossless coder and blue component near-lossless coder. Firstly, full resolution green image which is demosaiced from raw mosaic image is produced and green mosaic image is losslessly coded by LOCO-I scheme designed by Weinberger. Then low frequency sub-bands of red and blue mosaic component are also coded by LOCO-I while their high frequency sub-bands are ignored. In the decoder, the high frequency sub-bands of red and blue mosaic component are taken from the high frequency sub-bands of full resolution green image which locate at the same position as raw red or blue mosaic image, so we can reconstruct raw red or blue mosaic image based on decoded low frequency sub-bands of red and blue mosaic component. Consequently, we can encode mosaic images at low complexity level at higher compression ratio. Compared with JPEG2000, the performance of proposed method is apparently better. © 2010 IEEE.

关键词： Decoding

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Content based medical image retrieval feature extraction of using statistical spatial methods for content based medical image retrieval

Content based medical image retrieval feature extraction of ...

引用

signal processing and Communications applications conference

作者： Ergen, Burhan Baykara, Muhammet Bilgisayar Mühendisliǧi Bölümü Firat Üniversitesi Turkey Maden Meslek Yüksek Okulu Firat Üniversitesi Turkey

ISBN: (纸本)9781424496716

However medical image archives are widely used, these archives are based on textual query. Recently, it is obtained successfully results in general purpose image archiving using content based image retrieval systems. Therefore, it has also began studying on content based retrieval in medical image archiving. In this study, it is investigated performances of features obtained from gray level co-occurrence matrix and wavelet transform for content based medical image retrieval. Finally, that it can be obtained using both methods is exposed. ©2010 IEEE.

关键词： Content based retrieval

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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

作者： Tang, Lin-Lin Chu, Shu-Chuan Roddick, John Department of computer Science and Technology Harbin Institute of Technology Shenzhen Graduate School Shenzhen China School of Computer Science Engineering and Mathematics Flinders University of South Australia GPO Box 2100 Adelaide SA 5001 Australia

ISBN: (纸本)9780769541808

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. © 2010 IEEE.

关键词： Vector quantization

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A DWT-SVD based perceptual image fidelity metric for watermaking schemes

A DWT-SVD based perceptual image fidelity metric for waterma...

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作者： Del Colle, Franco Gómez, Juan Carlos Laboratory for System Dynamics and Signal Processing FCEIA Universidad Nacional de Rosario Rosario Argentina

ISBN: (纸本)9789898425195

In this paper, a novel DWT-SVD perceptual fidelity metric for the evaluation of watermarking schemes is introduced. The proposed metric is based on a widely used Human Visual Model in the Discrete wavelet Transform domain accounting for the frequency sensitivity, and the local luminance and contrast masking effects of the human eye. A relationship between the visual model in the DWT domain and the modification of the wavelet coefficients's singular values is derived. The proposed metric is validated through subjective assessment and its performance is compared to several state-of-the-art perceptual image distortion metrics. The paper focus on image Adaptive Watermarking methods in the Discrete wavelet Transform Domain since they yield better results regarding robustness and transparency than other watermarking schemes.

关键词： Discrete wavelet transforms

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