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24th International conference on systems, Signals and image processing (IWSSIP)

作者： Dziembowski, Adrian Grzelka, Adam Mieloch, Dawid Stankiewicz, Olgierd Domanski, Marek Poznan Univ Tech Chair Multimedia Telecommun & Microelect Poznan Poland

ISBN: (纸本)9781509063444

In the paper we present a method for increasing the quality of views synthesized with typical Depth-image-Based Rendering (DIBR) view synthesis algorithms. In the proposed idea the resolution of input real views and corresponding depth maps is doubled before the view synthesis. After the synthesis, the resolution of a synthesized view is downsampled back to the original resolution. This approach is transparent for the view synthesis algorithms, thus can be used with any DIBR method. In the paper, tests for two synthesis algorithms (the state-of-the-art MPEG reference software and our view synthesis method) are presented. For both algorithms, the proposed upsampling improves objective and subjective quality of synthesized views.

关键词： View Synthesis Free-Viewpoint Television Depth Map Upsampling

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Hyperspectral image sharpening using multispectral data

Hyperspectral image sharpening using multispectral data

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conference on algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral imagery xi

作者： Winter, ME Winter, EM Beaven, SG Ratkowski, AJ Univ Hawaii Manoa Honolulu HI 96822 USA

ISBN: (纸本)0819457914

Multispectral sharpening of hyperspectral imagery fuses the spectral content of a hyperspectral image with the spatial and spectral content of the multispectral image. The approach we have been investigating compares the spectral information present in the multispectral image to the spectral content in the hyperspectral image and derives a set of equations to approximately transform the multispectral image into a synthetic hyperspectral image. This synthetic hyperspectral image is then recombined with the original low-resolution hyperspectral image to produce a sharpened product. We evaluate this technique against several types of data, showing good performance across with all data sets. Recent improvements in the algorithm allow target detection to be performed without loss of performance even at extreme sharpening ratios.

关键词： Hyperspectral imaging Sensors Spatial resolution image filtering Target detection Multispectral imaging Vegetation image processing Imaging systems Data modeling

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Signal processing algorithms for temperauture drift in a MEMS-gyro-based head mouse

Signal processing algorithms for temperauture drift in a MEM...

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21st International conference on systems, Signals and image processing (IWSSIP)

作者： Du, Jiaying Gerdtman, Christer Linden, Maria Malardalen Univ Sch Innovat Design & Engn Gurksaltargatan 9 S-72218 Vasteras Sweden Mot Control & Vasteras AB Angsgardsgatan 10 S-72130 Vasteras Sweden

ISBN: (纸本)9789531841917

This paper presents a comparison between different signal processing algorithms applied to a gyro-based computer head mouse for persons with movement disorders. MEMS-gyros can be used to sense the head movement and rotation. However, the measured gyro signals are influenced by noise, offset, drift and especially temperature drift. Thus, there is a need to improve the signal by signal processing algorithms. Different gyros have different characteristics and the algorithms should be useful for any selected MEMS-gyro. In this paper, three different signal processing algorithms were designed and evaluated by simulation in MATLAB and implementation in a dsPIC, with the aim to compensate for the temperature drift problem. The algorithms are high-pass filtering, Kalman algorithm and Least Mean Square (LMS) algorithm. Comparisons and system test show that these filters can be used for temperature drift compensation and the Kalman filter showed the best in the application of a MEMS-gyro-based computer head mouse.

关键词： High-pass Kalman LMS MEMS-gyros signal processing

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Parallel algorithms for fast subpixel detection in hyperspectral imagery

Parallel algorithms for fast subpixel detection in hyperspec...

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conference on image processing - algorithms and systems xi

作者： Wong, Chung M. Shepanski, John Sandor-Leahy, Stephanie Northrop Grumman Aerosp Syst Redondo Beach CA 90278 USA

ISBN: (纸本)9780819494283

We present parallel algorithms for fast subpixel detection of targets in hyperspectral imagery produced by our Hyperspectral Airborne Tactical Instrument (HATI-2500). The HATI-2500 hyperspectral imaging system has a blue-enhanced visible-near-IR (VNIR) and a full short-wave IR (SWIR) range response from 400 to 2500 nm. It has an industry-leading spectral resolution that ranges from 6 nm down to 1.5 nm in the VNIR region. The parallel detection algorithm selected for processing the hyperspectral data cubes is based on the adaptive coherence/cosine estimator (ACE). The ACE detector is a robust detector that is built upon the theory of generalized likelihood ratio testing (GLRT) in implementing the matched subspace detector to unknown parameters such as the noise covariance matrix. Subspace detectors involve projection transformations whose matrices can be efficiently manipulated through multithreaded massively parallel processors on modern graphics processing units (GPU). The GPU kernels developed in this work are based on the CUDA computing architecture. We constrain the detection problem to a model with known target spectral features and unstructured background. The processing includes the following steps: 1) scale and offset applied to convert the data from digital numbers to radiance values, 2) update the background inverse covariance estimate in a line-by-line manner, and 3) apply the ACE detector for each pixel for binary hypothesis testing. As expected, the algorithm is extremely effective for homogeneous background, such as open desert areas;and less effective in mixed spectral regions, such as those over urban areas. The processing rate is shown to be faster than the maximum frame rate of the camera (100 Hz) with a comfortable margin.

关键词： Hyperspectral imaging remote sensing real-time processing parallel computing

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VLSI Implementation of Reconfigurable processing Modulefor Binary and Grayscale image processing

VLSI Implementation of Reconfigurable Processing Modulefor B...

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International conference on Electronics and Communication systems (ICECS)

作者： Dinesh, S. Vairavel, G. Jansons Inst Technol Coimbatore Tamil Nadu India Jansons Inst Technol ECE Dept Coimbatore Tamil Nadu India

ISBN: (纸本)9781479966387

In the field of image processing, binary images and grayscale images play a vital role in the application of object recognition, tracking, document analysis and authentication and machine intelligence. This paper proposes a reconfigurable processing module for image processor, in which the image processing functions and algorithms can be implemented, instead of using separate application specific integrated circuits (ASICs) for each algorithm. The reconfigurable module includes functions like basic mathematical morphological operations for binary and grayscale images and certainimage processing algorithms. The reconfiguration module is implemented in field programmable gate arrays and compared with existing systems. The experimental and simulation results show that the module which has been implemented in the VIRTEX 4 XC4VLx15 device family at a 180-MHZ system clock and is suitable for real time image processing applications.

关键词： Binary image processing ASIC mathematical morphology field programmable gate arrays (FPGAs)

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A new method for image representation

A new method for image representation

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2011 IEEE 3rd International conference on Communication Software and Networks, ICCSN 2011

作者： Wu, Xueli Wang, Bingzheng xia, Yongquan School of Computer and Communication Engineering Zhengzhou University of Light Industry Zhengzhou 450002 China

ISBN: (纸本)9781612844855

image representation plays a key role in optimizing image processing algorithms. A new image representation method is presented, which is called Inclined plane Decomposition based Non-symmetry and Anti-packing image representation Method (IDNAM), in order to improve the efficiency of image processing algorithms. An algorithm is given for an abstract image processing based on the IDNAM, and the algorithm generalizes the basic idea of image processing algorithms based on the IDNAM. The theoretical analyses show that the time complexity of this algorithm is smaller than that of the abstract image processing algorithms based on pixel representation. © 2011 IEEE.

关键词： image representation

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Two-dimensional control systems: Learning from implementations

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JOURNAL OF ELECTRONIC IMAGING 2001年第3期10卷 661-668页

作者： Duncan, SR Univ Oxford Dept Engn Sci Oxford OX1 3PJ England

The design of sensing and control systems for two-dimensional industrial processes such as paper making, plastic film extrusion and metal rolling, has drawn extensively upon concepts from two-dimensional signal processing and image processing. The performance of two-dimensional control systems is discussed in terms of spatial and dynamic bandwidths and is illustrated by examples from the control of cross-directional variations on a plastic film extrusion line. By relating these bandwidths to the specification of the required quality of the finished film and typical disturbances that enter the process, specifications are developed for the design of the actuators, the sensing system and the control algorithm. It is shown that the current generation of control systems is not suitable for controlling variations over small areas of sheet, but a system which regulates over much smaller areas could be developed using recent developments in sensors and two-dimensional control algorithms. (C) 2001 SPIE and IS&T.

关键词： Control systems Actuators Critical dimension metrology Control systems design Sensors Sensing systems Laser induced plasma spectroscopy Algorithm development Imaging systems image processing

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Selecting Parameters for image processing algorithms: A Case Study Using Retinal image Segmentation 53

Selecting Parameters for Image Processing Algorithms: A Case...

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53rd Asilomar conference on Signals, systems, and Computers (ACSSC)

作者： Kamath, Chandrika Lawrence Livermore Natl Lab Ctr Appl Sci Comp Livermore CA 94550 USA

ISBN: (纸本)9781728143002

A challenge in applying image processing algorithms to scientific data is the variation within and across images in a data set. This makes it difficult to select parameters for the algorithms, especially when the data set is large and the variation is unknown. Using the task of segmentation of retinal images, we discuss the challenges that arise in selecting parameters for even a relatively simple algorithm. We show that the availability of ground truth results could make the identification of parameters subjective and propose a simple idea that could benefit the selection of a single parameter.

关键词： image segmentation parameter selection

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Atomic-level quantitative analysis of electronic functional materials by aberration-corrected STEM

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Chinese Physics B 2024年第11期33卷 12-25页

作者： Wanbo Qu Zhihao Zhao Yuxuan Yang Yang Zhang Shengwu Guo Fei Li xiangdong Ding Jun Sun Haijun Wu State Key Laboratory for Mechanical Behavior of Materials Xi'an Jiaotong UniversityXi'an 710049China Electronic Materials Research Laboratory Key Laboratory of the Ministry of Educationand School of Electronic and Information EngineeringXi'an Jiaotong UniversityXi'an 710049China Instrumental Analysis Center of Xi'an Jiaotong University Xi'an Jiaotong UniversityXi'an 710049China

The stable sub-angstrom resolution of the aberration-corrected scanning transmission electron microscope(ACSTEM)makes it an advanced and practical characterization technique for all *** to the prosperous advancement in computational technology,specialized software and programs have emerged as potent facilitators across the entirety of electron microscopy characterization *** advanced image processing algorithms promotes the rectification of image distortions,concurrently elevating the overall image quality to superior *** high-resolution,pixel-level discrete information and converting it into atomic-scale,followed by performing statistical calculations on the physical matters of interest through quantitative analysis,represent an effective strategy to maximize the value of electron microscope *** efficacious utilization of quantitative analysis of electron microscope images has become a progressively prominent consideration for materials scientists and electron microscopy *** article offers a concise overview of the pivotal procedures in quantitative analysis and summarizes the computational methodologies involved from three perspectives:contrast,lattice and strain,as well as atomic displacements and *** further elaborates on practical applications of these methods in electronic functional materials,notably in piezoelectrics/ferroelectrics and *** emphasizes the indispensable role of quantitative analysis in fundamental theoretical research,elucidating the structure–property correlations in high-performance systems,and guiding synthesis strategies.

关键词： AC-STEM quantitative analysis polarization electronic functional materials

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SPATIO-TEMPORAL NOISE REDUCTION METHOD OPTIMIZED FOR REAL-TIME IMPLEMENTATION

SPATIO-TEMPORAL NOISE REDUCTION METHOD OPTIMIZED FOR REAL-TI...

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conference on image processing - algorithms and systems xi

作者： Romanenko, I. V. Edirisinghe, E. A. Larkin, D. Univ Loughborough Dept Comp Sci Loughborough Leics England

ISBN: (纸本)9780819494283

image de-noising in the spatial-temporal domain has been a problem studied in-depth in the field of digital image processing. However complexity of algorithms often leads to high hardware resource usage, or computational complexity and memory bandwidth issues, making their practical use impossible. In our research we attempt to solve these issues with an optimized implementation of a practical spatial-temporal de-noising algorithm Spatial-temporal filtering was performed in Bayer RAW data space, which allowed us to benefit from predictable sensor noise characteristics and reduce memory bandwidth requirements. The proposed algorithm efficiently removes different kinds of noise in a wide range of signal to noise ratios. In our algorithm the local motion compensation is performed in Bayer RAW data space, while preserving the resolution and effectively improving the signal to noise ratios of moving objects. The main challenge for the use of spatial-temporal noise reduction algorithms in video applications is the compromise between the quality of the motion prediction and the complexity of the algorithm and required memory bandwidth In photo and video applications it is very important that moving objects should stay sharp, while the noise is efficiently removed in both the static background and moving objects. Another important use case is the case when background is also non-static as well as the foreground where objects are also moving. Taking into account the achievable improvement in PSNR (on the level of the best known noise reduction techniques, like VBM3D) and low algorithmic complexity, enabling its practical use in commercial video applications, the results of our research can be very valuable.

关键词： spatial-temporal de-noising image processing sensor noise Bayer RAW non-local means FPGA real-time motion compensation

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