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Primitive based contrast enhancement method

Primitive based contrast enhancement method

引用

conference on image processing - Medical Imaging 1996

作者： Labaere, F Vuylsteke, P Wambacq, P Schoeters, E Fivez, CM UNIV ZIEKENHUIS GASTHUISBERG LAB MED IMAGING RES ESAT & RADIOLB-3000 LOUVAINBELGIUM

ISBN: (纸本)0819420859

In this article we present a new solution for the problem of contrast enhancement. The method is based on the decomposition of the original image into its primitive components. In a first stage a multiresolution representation of the image is computed yielding transform coefficients proportional to the maximum of the local gradient at a specific scale and at a specific position in the image. As an image detail exists at several scales, the transform coefficients corresponding to the same image primitive are grouped. Contrast is enhanced by groupwise non-linear amplification of the transform coefficients. An inverse transform is then applied to the modified coefficients, resulting in a uniformly contrast-enhanced image without artifacts. Preliminary results demonstrate the effectiveness of this method. It could be used in a wide range of applications.

关键词： wavelets image contrast enhancement image enhancement Wavelet transforms image resolution Algorithm development image processing Reconstruction algorithms Lung Medical imaging

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Linear versus nonlinear model-based restoration of medical images corrupted with signal-dependent noise

Linear versus nonlinear model-based restoration of medical i...

引用

conference on image processing - Medical Imaging 1996

作者： Mitra, S Wettasinghe, C Kher, A Pemmaraju, S Shieh, YY Roberson, GH TEXAS TECH UNIV DEPT ELECT ENGNLUBBOCKTX 79409

ISBN: (纸本)0819420859

Due to coherent imaging techniques employed in medical imaging such as ultrasound imaging, signal dependent speckle noise appears as granular noise that is difficult to remove without blurring the image details. Considerable efforts have been spent to design systems with improved resolution and reduced speckle noise. This study investigates the effect of recently developed nonlinear and linear filtering techniques in restoring medical images corrupted with speckle noise. Preliminary results demonstrate that a class of nonlinear filters based on mathematical morphology outperforms linear wavelet filters and a simple nonlinear median filter in removing speckle noise.

关键词： Digital filtering image filtering wavelets Speckle Nonlinear filtering image enhancement Interference (communication) Linear filtering Medical imaging Ultrasonography

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A pyramidal vision model applied to astronomical images

A pyramidal vision model applied to astronomical images

引用

4th conference on Wavelet applications in signal and image processing

作者： Rue, F Bijaoui, A OBSERV COTE AZUR URA CNRS 1360DPT CERGAF-06304 NICE 4FRANCE

ISBN: (纸本)0819422134

A multiscale vision model based on a pyramidal wavelet transform is described in the present paper. The pyramidal wavelet algorithm is modified in order to satisfy a correct sampling at each scale. Objects are defined by trees of statistically significant coefficients in the wavelet transform space. The object images are then restored using the conjugate gradient method. By comparing with the model based on the à trous algorithm, tests on simulated and real images show that this model presents a good compromise between analysis quality and the memory space and computation time needed. ©2005 Copyright SPIE - The International Society for Optical Engineering.

关键词： astronomical image processing artificial vision pyramidal wavelet transform image restoration

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HVS-motivated quantization schemes in wavelet image compression 19

HVS-motivated quantization schemes in wavelet image compress...

引用

conference on applications of Digital image processing xIx

作者： Topiwala, PN MITRE Corp. (United States)

ISBN: (纸本)0819422355

Wavelet still image compression has recently been a focus of intense research, and appears to be maturing as a subject. Considerable coding gains over older DCT-based methods have been achieved, while the computational complexity has been made very competitive. We report here on a high performance wavelet still image compression algorithm optimized for both mean-squared error (MSE) and human visual system (HVS) characteristics. We present the problem of optimal quantization from a Lagrange multiplier point of view, and derive novel solutions. Ideally, all three components of a typical image compression system: transform, quantization, and entropy coding, should be optimized simultaneously. However, the highly nonlinear nature of quantization and encoding complicates the formulation of the total cost function. In this report, we consider optimizing the filter, and then the quantizer, separately, holding the other two components fixed. While optimal bit allocation has been treated in the literature, we specifically address the issue of setting the quantization stepsizes, which in practice is quite different. In this paper, we select a short high- performance filter, develop an efficient scalar MSE- quantizer, and four HVS-motivated quantizers which add some value visually without incurring any MSE losses. A combination of run-length and empirically optimized Huffman coding is fixed in this study.

关键词： Quantization wavelets image compression Visual system image filtering Modulation transfer functions Data modeling Visualization Systems modeling Visual process modeling

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Integrated wavelet compression and restoration

Integrated wavelet compression and restoration

引用

4th conference on Wavelet applications in signal and image processing

作者： Rahman, ZU COLL WILLIAM & MARY WILLIAMSBURGVA 23187

ISBN: (纸本)0819422134

The performance of wavelet compression algorithms is generally judged solely as a function of the compression ratio and the vidual artifacts which are perceivable in the reconstructed image. The problem then becomes one of obtaining the best compression with fewest visible artifacts--a very subjective measure. Our wavelet compression algorithm uses an information theoretic analysis for the design of the compression maps. We have previously shown that maximizing the information for a given visual communication channel also maximizes the visual quality of the restored image. We utilize this to design quantization maps which maximize information for a given compression ratio. Hence we are able to design quantization maps which maximize the restorability of an image--i.e. the information content, the image quality, and the mean-square difference fidelity--for a given compression ratio.

关键词： image restoration image compression image quality

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Finite element analysis of human joints: image processing and meshing issues

Finite element analysis of human joints: Image processing an...

引用

International conference on image processing (ICIP-96)

作者： Bossart, PL Martz, HE Hollerbach, K NONDESTRUCT EVALUAT SECT LIVERMORECA 94550

ISBN: (纸本)0780332598

Our work focuses on the development of finite element models (FEMs) that describe the biomechanics of human joints. Finite element modeling is becoming a standard tool in industrial applications. In highly complex problems such as those found in biomechanics research, however, the full potential of FEMs is just beginning to be explored, due to the absence of precise, high resolution medical data and the difficulties encountered in converting these enormous datasets into a form that is usable in FEMs. With increasing computing speed and memory available, it is now feasible to address these challenges. We address the first by acquiring data with a high resolution x-ray CT scanner and the latter by developing a semi-automated method for generating the volumetric meshes used in the FEM. Issues related to tomographic reconstruction, volume segmentation, the use of extracted surfaces to generate volumetric hexahedral meshes, and applications of the FEM are described.

关键词： computed tomography volume segmentation surface extraction grid generation finite elements biomechanics human joints

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An image compression scheme based on wavelet transform and the human visual system

An image compression scheme based on wavelet transform and t...

引用

4th conference on Wavelet applications in signal and image processing

作者： Li, JM Jin, JS UNIV NEW S WALES SCH COMP SCI & ENGNSYDNEYNSW 2052AUSTRALIA

ISBN: (纸本)0819422134

An image compression method based on wavelet transforms and the human visual system (HVS) is presented in this paper. In the proposed method, we emphasize on the issue of designing a quantizer for wavelet transform coefficients, which takes into account the relative importance of different coefficients in human visual perception and minimizes noise introduced in quantization. Since inmost of image processing systems, the final observer of the processed images is human beings, a distortion measurement combining human visual characteristics rather than the usually adopted mean square error to judge the quality of compressed image is presented. The images compressed with out method have less annoying effects under a higher compression ratio than that without incorporating HVS properties. ©2005 Copyright SPIE - The International Society for Optical Engineering.

关键词： image compression wavelet transform human visual system

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Contour matching using variational calculus

Contour matching using variational calculus

引用

3rd International conference on signal processing (ICSP 96)

作者： Yang, x Northwestern Polytechnical University Xi'an China

ISBN: (纸本)7505338900

A Multiresolution method to match deformed contours is presented [1-2]. Our approach has been inspired by the method due to Duncan and Cohen [3-4]. The innovation of our work is in the incorporation of a new smoothness term in the elastic fitting criterion. As a result, the computational complexity is reduced and the equation corresponding to the minimization of the fitting criterion has a simple interpretation. In this paper, we investigate the necessary and sufficient conditions to the minimization of the fitting criterion using variational calculus.

关键词： image matching image resolution computational complexity minimisation smoothing methods variational calculus contour matching multiresolution method deformed contours smoothness term elastic fitting criterion computational complexity reduction fitting criterion minimization necessary conditions sufficient conditions medical applications

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Optimal bit allocation for high quality wavelet color image codec 19

Optimal bit allocation for high quality wavelet color image ...

引用

conference on applications of Digital image processing xIx

作者： Nuri, V Nuri, I Simages Inc. (United States) Univ. of California/Berkeley (United States)

ISBN: (纸本)0819422355

In this paper, a high quality, and in many prospects, efficient, wavelet color image codec (WCIC) is introduced. This codec allows to achieve high compression ratios with little degradation in visual quality. WCIC simultaneously exploits several characteristics of the wavelet transforms (multiresolution decompositions). Wavelet transform is formed using wavelet packets via lattice structures. Bit allocation algorithm is developed to distribute the bits between and in the colors such that minimal mean-squared-error (MSE) is introduced in each color component. This proves to be beneficial at low bit rates which keeps the color distribution in balance. The wavelet coefficients are quantized using either trellis or zero-tree quantizers depending on their statistics. Quantized coefficients are further compressed with adaptive arithmetic coding resulting in the final coded bit stream. This codec is applied to a wide range of images, from computer animations to natural pictures. The results are compared to other algorithms, including fractals and JPEG, and relative merits of the proposed algorithm are presented.

关键词： color image compression wavelets bit allocation trellis coding tree coding

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DC image restoration for astronomical applications 19

DC image restoration for astronomical applications

引用

conference on applications of Digital image processing xIx

作者： Holmes, RB Lockheed Martin Advanced Technology Ctr. (United States)

ISBN: (纸本)0819422355

In astronomical imaging techniques, the relative level of the zero-frequency component of an image is usually unknown relative to all other components. This problem arises because the overall object brightness cannot easily be separated from background when viewing small, faint objects. This affects image interpretability and therefore is a problem that is ubiquitous in high-resolution astronomical imaging. Potential solutions to this problem include various interpolation techniques and image constraint techniques. These approaches are described, and performance is evaluated with an optimal interpolator that accounts for sample density, signal-to-noise ratio, and the object's overall shape. Novel analytic expressions are obtained which provide insight into the limitations of any restoration approach, and practical means for achieving those limits.

关键词： restoration astronomical imaging DC Knox-Thompson technique phase closure bispectrum

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