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image processing: algorithms and systems xiv 2016

作者： Michailovich, Oleg V. University of Waterloo WaterlooON Canada

image stitching – the process of amalgamation of separate image fragments to form a complete representation of the entire scene – might become quite a challenging problem in the presence of non-additive noises and/or brightness variability artifacts. An additional degree of complication may further be inflicted in situations when one is dealing with large size data, as it is usually the case in tiling microscopy. To overcome such difficulties, a novel approach to the problem of image stitching is proposed here. In the heart of the proposed solution is Wallis filtering, which is a standard tool of image processing used for adaptive contrast adjustment and local image normalization. More importantly, Wallis filtering allows representing a given image in terms of its normalized version and associated local statistics. Subsequently, we show that stitching the output of the Wallis filter is a much simpler and much more stable task as compared to stitching the images in their original domain. The proposed method has an additional advantage of being computational efficient, which is particularly important in tiling microscopy, where a typical height/width of data images is on the order of tens of thousands of pixels. © 2016 Society for Imaging Science and Technology.

关键词： Additive noise

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Comparison of noise removal algorithms on Optical Coherence Tomography (OCT) image

Comparison of noise removal algorithms on Optical Coherence ...

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2016 IEEE International Conference on Imaging systems and Techniques, IST 2016

作者： Shah, Asim Altaf Mohsin Malik, M. Usman Akram, M. Bazaz, Shafaat A. Department of Electrical Engineering Bahria University Islamabad Pakistan Department of Computer Engineering NUST Rawalpindi Pakistan Department of Computer Sciences CASE Islamabad Pakistan

ISBN: (纸本)9781509018178

Automatic Identification of disease through image processing in biomedical field is the norm of modern era. Ophthalmologists have used several invasive and noninvasive techniques for early detection of disease. OCT is one such noninvasive modality that performs high resolution tomographic imaging in biological systems. OCT images are produced containing speckle noise. Noise is a major factor that decreases image quality, hence degrading performance of noise image processing algorithms. It is therefore at highest priority to apply effective method for denoising image, before further processing. In this paper we applied Wavelet denoising, bilateral and wiener filter on an OCT images and discuss benefits and drawback of each algorithms. The effectiveness of each algorithm is compared on basis of Signal to noise ratio SNR, peak signal to noise ratio PSNR and Mean square error MSE. © 2016 IEEE.

关键词： image denoising

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ν acceleration of statistical iterative methods for image restoration

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SIGNAL image AND VIDEO processing 2016年第5期10卷 927-934页

作者： Dell'Acqua, Pietro Univ Insubria Dipartimento Sci & Alta Tecnol Via Valleggio 11 I-22100 Como Italy

image restoration problem is an important topic which appears in many different scientific areas. Several solving techniques are available, but generally in real applications, from which large-scale linear systems arise, the choice falls on iterative algorithms. In particular statistical methods (Lucy-Richardson method, image space reconstruction algorithm) have been extensively studied in the literature. Since they have low convergence rates, it is necessary to employ acceleration strategies. At this time, the most popular is the one introduced in 1997 by Biggs and Andrews, called automatic acceleration by the authors. In the present paper we describe acceleration, that is the translation of the idea behind nu-method, conceived for speeding up Landweber method, in the context of statistical methods. Computational results, which compare accelerated and classical methods, show the effectiveness of this strategy, which is able to get better performance than automatic acceleration.

关键词： Automatic acceleration nu-method Lucy-Richardson method image space reconstruction algorithm

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Speckle-suppressed full-field imaging through a scattering medium using a supercontinuum

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OPTICS EXPRESS 2016年第23期24卷 26338-26343页

作者： Zheng, Yipeng Si, Jinhai Tan, Wenjiang Ren, Yu Hu Tong, Junyi Hou, Xun Xi An Jiao Tong Univ Sch Elect & Informat Engn Key Lab Phys Elect & Devices Shannxi Key Lab InformatPhoton TechMinist Educ Xianning Xilu 28 Xian 710049 Peoples R China Xian Univ Technol Dept Appl Phys Xian 710048 Peoples R China

We demonstrate speckle-suppressed full-field imaging through a scattering medium using incoherent supercontinuum (SC) illumination. The patterns in images obtained using SC illumination were found to be more easily identifiable than those in images acquired using coherent direct laser illumination due to the speckle suppression. Even when the optical depth reached 12.3, the patterns remained identifiable. As one of the potential applications, we also demonstrated the imaging for a high-pressure diesel spray using SC illumination. (C) 2016 Optical Society of America

关键词： Digital image processing image processing algorithms Imaging systems Optical depth Speckle noise Speckle patterns

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Real-Time Geometric Scene Estimation for RGBD images using a 3D Box Shape Grammar

Real-Time Geometric Scene Estimation for RGBD Images using a...

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Conference on Three-Dimensional Imaging, Visualization, and Display

作者： Willis, Andrew R. Brink, Kevin M. Univ North Carolina Charlotte 9201 Univ City Blvd Charlotte NC 28223 USA Air Force Res Lab Munit Directorate Eglin AFB FL 32542 USA

ISBN: (纸本)9781510601086

This article describes a novel real-time algorithm for the purpose of extracting box-like structures from RGBD image data. In contrast to conventional approaches, the proposed algorithm includes two novel attributes: (1) it divides the geometric estimation procedure into subroutines having atomic incremental computational costs, and (2) it uses a generative "Block World" perceptual model that infers both concave and convex box elements from detection of primitive box substructures. The end result is an efficient geometry processing engine suitable for use in real-time embedded systems such as those on an UAVs where it is intended to be an integral component for robotic navigation and mapping applications.

关键词： Data modeling 3D modeling 3D modeling image segmentation 3D image processing 3D image processing Robotics 3D metrology Detection and tracking algorithms image processing algorithms and systems Cameras image processing

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Genetic algorithm-based parameter selection approach to single image defogging

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INFORMATION processing LETTERS 2016年第10期116卷 595-602页

作者： Guo, Fan Peng, Hui Tang, Jin Cent S Univ Sch Informat Sci & Engn Changsha 410083 Hunan Peoples R China

image defogging is widely used in many outdoor working systems. However, owing to the Jack of enough information to solve the equation of image degradation model, existing restoration methods generally introduce some parameters and set these values fixed. Inappropriate parameter setting will lead to difficulty in obtaining the best defogging results for different input foggy images. This letter proposes a novel defogging parameter value selection algorithm based on genetic algorithm (GA). We mainly focus on the way to select optimal parameter values for image defogging. The proposed method is applied to two representative defogging algorithms by selecting the two main parameters and optimizing them using the genetic algorithm. An assessment index of image defogging effect is used in the proposed method as the fitness function of the genetic algorithm. Thus, these parameters may be adaptively and automatically adjusted for the defogging algorithms. A comparative study and qualitative evaluation demonstrate that the better quality results are obtained by using the proposed method. (C) 2016 Elsevier B.V. All rights reserved.

关键词： Single image defogging Genetic algorithm Parameter selection Defogging effect assessment Performance evaluation

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A Programmable and Reconfigurable Core for Binary image processing 11

A Programmable and Reconfigurable Core for Binary Image Proc...

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11th International Symposium on Reconfigurable Communication-centric systems-on-Chip (ReCoSoC)

作者： Dalloo, Ayad Garcia-Ortiz, Alberto Univ Bremen Inst Electrodynam & Microelect D-28359 Bremen Germany

ISBN: (纸本)9781509025206

Binary-image processing cores are extremely useful in many image and video applications such as object recognition, tracking, motion detection, and identification. To address the variety of applications and binary-image kernels, we propose an FPGA-based intellectual property core with enhanced flexibility: it is programmable, reconfigurable, and parameterizable. The core performs single binary image kernels (morphological operations) and even complete algorithms composed by sequences of operations;the algorithms' control does not require an external processor as in previous approaches. The reconfiguration features allow adapting the image size, structuring element, and even image parallelism for some operations at run-time. Finally, the parameterization allows defining the maximum image, feature, and command-buffer sizes as well as the number of pixel processing units at compile time. The careful combination of programmability, reconfigurability, and parameterization produces a flexible yet efficient binary-image processing architecture. A detailed experimental validation using a Virtex 5 platform assesses the advantages of the proposed architecture versus previous approaches. The results show that the core can process about 1500 frames per second for 32 operations for a 1024 x 1024 image and 5x5 structure-element at 100MHz frequency. The results demonstrate that the core is suitable for real-time binary image processing applications.

关键词： Binary image processing field-programmable gate array (FPGA) mathematical morphology real time reconfigurable programmable intellectual property core

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ANFIS based Color Constancy algorithms Selection System for Dark image Enhancement

ANFIS based Color Constancy Algorithms Selection System for ...

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International Conference on Next Generation Intelligent systems (ICNGIS)

作者： Thasni, A. N. Deepthi, V. R. Francis, Ann Bonia RIT Dept CSE Kottayam Kerala India

ISBN: (纸本)9781509008704

This work introduces an Artificial Neuro-Fuzzy Inference System functioning as a selector of color constancy algorithms for the enhancement of dark images. The system selects among three algorithms, the White-Patch, the Gray-World and the Gray-Edge according to real content of an image. These three algorithms have been considered due to their simplicity and accurate remotion of the illuminant, further showing an outstanding color enhancement on images. The diverse image features are involved in the selection process, so the design of selector system is not a trivial task. For this reason we developed a fuzzy rule based system to model the information through simple rules. While addressing the problem of dark image enhancement this approach can handle large amount of data and is tolerant to ambiguity.

关键词： Fuzzy logic Color constancy image processing image enhancement

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MBSEM image Acquisition and image processing in LabView FPGA 23

MBSEM Image Acquisition and Image Processing in LabView FPGA

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23rd International Conference on systems, Signals and image processing (IWSSIP)

作者： Rahangdale, Shammi Keijzer, Paul Kruit, P. Delft Univ Technol Dept Imaging Phys Delft Netherlands

ISBN: (纸本)9781467395557

Multi-beam scanning electron microscopy (MBSEM), has been developed to reduce the acquisition time by scanning multiple pixels simultaneously. The signal from the 14 x 14 beams is captured on a camera which reads out the position and intensity for each beam on the sample. But as we work with multiple beams and pixels we need a powerful technique for image acquisition and image processing algorithms. We use Field Programmable Gate Arrays (FPGA's), often used as an implementation platform for real time image acquisition and processing applications, because their structure is able to exploit spatial and temporal parallelism. This paper presents a technique for dealing with the various constraints of the camera and efficient mapping for image acquisition and processing operations on FPGA.

关键词： Microscopic Imaging and analysis 2D image acquisition MatLab and Lab View FPGA

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image quality and dose differences caused by vendor-specific image processing of neonatal radiographs

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PEDIATRIC RADIOLOGY 2016年第11期46卷 1606-1613页

作者： Sensakovic, William F. O'Dell, M. Cody Letter, Haley Kohler, Nathan Rop, Baiywo Cook, Jane Logsdon, Gregory Varich, Laura Florida Hosp Imaging Adm 601 E Rollins St Orlando FL 32803 USA

image processing plays an important role in optimizing image quality and radiation dose in projection radiography. Unfortunately commercial algorithms are black boxes that are often left at or near vendor default settings rather than being optimized. We hypothesize that different commercial image-processing systems, when left at or near default settings, create significant differences in image quality. We further hypothesize that image-quality differences can be exploited to produce images of equivalent quality but lower radiation dose. We used a portable radiography system to acquire images on a neonatal chest phantom and recorded the entrance surface air kerma (ESAK). We applied two image-processing systems (Optima XR220amx, by GE Healthcare, Waukesha, WI;and MUSICA(2) by Agfa HealthCare, Mortsel, Belgium) to the images. Seven observers (attending pediatric radiologists and radiology residents) independently assessed image quality using two methods: rating and matching. image-quality ratings were independently assessed by each observer on a 10-point scale. Matching consisted of each observer matching GE-processed images and Agfa-processed images with equivalent image quality. A total of 210 rating tasks and 42 matching tasks were performed and effective dose was estimated. Median Agfa-processed image-quality ratings were higher than GE-processed ratings. Non-diagnostic ratings were seen over a wider range of doses for GE-processed images than for Agfa-processed images. During matching tasks, observers matched image quality between GE-processed images and Agfa-processed images acquired at a lower effective dose (11 +/- 9 mu Sv;P < 0.0001). image-processing methods significantly impact perceived image quality. These image-quality differences can be exploited to alter protocols and produce images of equivalent image quality but lower doses. Those purchasing projection radiography systems or third-party image-processing software should be aware that image processing c

关键词： Chest image processing image quality Neonate Radiation dose Radiography

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