Nonlinear multiresolution gradient adaptive filter for medical images

Kunz, Dietmar; Eck, Kai; Fillbrandt, Holger; Aach, Til

doi:10.1117/12.481323

Cited by 22 publications

(26 citation statements)

References 4 publications

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“…The multiresolution application considered here utilizes the multiresolution approach presented by Kunz et al [11] and employs a bilateral filter [12] as filter kernel. The application is a nonlinear multiresolution gradient adaptive filter for images and is typically used for inter-frame image processing, i.e.…”

Section: Multiresolution Filteringmentioning

confidence: 99%

Efficient Mapping of Multiresolution Image Filtering Algorithms on Graphics Processors

Membarth

Hannig

Dutta

et al. 2009

Lecture Notes in Computer Science

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Abstract. In the last decade, there has been a dramatic growth in research and development of massively parallel commodity graphics hardware both in academia and industry. Graphics card architectures provide an optimal platform for parallel execution of many number crunching loop programs from fields like image processing, linear algebra, etc. However, it is hard to efficiently map such algorithms to the graphics hardware even with detailed insight into the architecture. This paper presents a multiresolution image processing algorithm and shows the efficient mapping of this type of algorithms to the graphics hardware. Furthermore, the impact of execution configuration is illustrated and a method is proposed to determine the best configuration offline in order to use it at run-time. Using CUDA as programming model, it is demonstrated that the image processing algorithm is significantly accelerated and that a speedup of up to 33x can be achieved on NVIDIA's Tesla C870 compared to a parallelized implementation on a Xeon Quad Core.

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Section: Multiresolution Filteringmentioning

confidence: 99%

Efficient Mapping of Multiresolution Image Filtering Algorithms on Graphics Processors

Membarth

Hannig

Dutta

et al. 2009

Lecture Notes in Computer Science

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“…Speckle reduction makes an ultrasound image cleaner with clearer boundaries, and thus significantly improves the speed and accuracy of automatic or semiautomatic image segmentation and registration techniques [1]. Various speckle reduction techniques have been proposed [4]- [12], namely, compounding techniques, which try to reduce speckle by generating multiple uncorrelated images, cause the loss of small details because of blurring. Wavelet multiscale analysis has the property of space and scale localization, and has found successful applications in a variety of signal processing problems.…”

Section: Introductionmentioning

confidence: 99%

Nonlinear Diffusion based on Bayesian Estimator in Laplacian Pyramid Domain for Ultrasonic Speckle Reduction

MotiurRahman¹,

Mina²,

Azim³

2012

IJAIS

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Laplacian pyramid based nonlinear diffusion (LPND) method is proposed for speckle noise reduction in medical ultrasound imaging. In this method, speckle is removed by nonlinear diffusion filtering of bandpass ultrasound images in Laplacian pyramid domain. For nonlinear diffusion in each pyramid layer, a Bayesian threshold is automatically determined by a variation of robust median estimator. The proposed LPND method reduces speckle noise significantly while preserving sharp image details. The superiority of the proposed LPND over the conventional LPND based on Gaussian filtering and LPND method based on Butterworth filtering based speckle reduction technique is demonstrated by applying them on synthetic and real ultrasound B-mode images.

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“…In the JPEG 2000 and MPEG-4 standards, the discrete wavelet transform, which is also a multiresolution approach, is used for image compression. In medical imaging, multiresolution filters offer much better edge-preserving smoothing for preserving the visually important structures [1].…”

Section: Introductionmentioning

confidence: 99%

Acceleration of Multiresolution Imaging Algorithms: A Comparative Study

Membarth

Kutzer

Dutta

et al. 2009

2009 20th IEEE International Conference on Application-Specific Systems, Architectures and Processors

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Abstract-In this paper we consider a multiresolution filter and its realization on the Cell BE and GPUs. We not only present common and specific optimization strategies undertaken for obtaining maximum performance on these architectures, but also how to obtain a speedup of 6.57x and 33.24x compared to an optimized OpenMP baseline implementation. Furthermore, we also undertake automated configuration space exploration of different partitioning possibilities for selection of best tiling parameters.

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Nonlinear multiresolution gradient adaptive filter for medical images

Cited by 22 publications

References 4 publications

Efficient Mapping of Multiresolution Image Filtering Algorithms on Graphics Processors

Efficient Mapping of Multiresolution Image Filtering Algorithms on Graphics Processors

Nonlinear Diffusion based on Bayesian Estimator in Laplacian Pyramid Domain for Ultrasonic Speckle Reduction

Acceleration of Multiresolution Imaging Algorithms: A Comparative Study

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