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Hyperspectral band quality analysis based on dictionary representation 25

Hyperspectral band quality analysis based on dictionary repr...

引用

conference on image and signal processing for Remote Sensing xxV

作者： Shen, Zhiqi Zhang, Ning Luo, xiaoyan Zhu, xinzhong Zhang, Quanyuan Beihang Univ Sch Astronaut Beijing 100191 Peoples R China Shanghai Aerosp Elect Technol Inst Shanghai Peoples R China

ISBN: (数字)9781510630147

ISBN: (纸本)9781510630147

Hyperspectral image can acquire hundreds of bands with wavelengths ranging from visible spectrum to infrared, and the rich discriminant information has led to the widespread applications in the military and civil fields. However, due to the influence of imaging devices, some bands are polluted by noise, which bring great inconvenience to subsequent processing. Therefore, in order to quickly and accurately find low quality and noisy bands in hyperspectral image, we propose a hyperspectral image quality analysis method based on band dictionary representation. Firstly, a representative band dictionary is constructed to accurately represent the dominant information in hyperspectral image. Then, the band subset dictionary is used to reconstruct all the remaining bands in the hyperspectral image and obtain the reconstruction coefficients of each band. Finally, representation error is calculated to analyze the quality of each band. By comparing the representation errors of the bands, the quality of each band can be estimated. Experimental results on three real-world hyperspectral images demonstrate the proposed method can effectively and quickly select low quality bands and noisy bands without any priors.

关键词： Hyperspectral image noisy bands dictionary representation representation error

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Assessment of quality of JPEG xL proposals based on subjective methodologies and objective metrics 42

Assessment of quality of JPEG XL proposals based on subjecti...

引用

conference on applications of Digital image processing xLII

作者： Akyazi, Pinar Ebrahimi, Touradj Ecole Polytech Fed Lausanne Multimedia Signal Proc Grp MMSPG CH-1015 Lausanne Switzerland

ISBN: (数字)9781510629684

ISBN: (纸本)9781510629684

The Joint Photographic Experts Group (JPEG) is currently in the process of standardizing JPEG xL, the next generation image coding standard that offers substantially better compression efficiency than existing image formats. In this paper, the quality assessment framework of proposals submitted to the JPEG xL Call for Proposals is presented in details. The proponents were evaluated using objective metrics and subjective quality experiments in three different laboratories, on a dataset constructed for JPEG xL quality assessment. Subjective results were analyzed using statistical significance tests and presented with correlation measures between the results obtained from different labs. Results indicate that a number of proponents superseded the JPEG standard and performed at least as good as the state-of-the-art anchors in terms of both subjective and objective quality on SDR and HDR contents, at various bitrates.

关键词： JPEG xL image compression standardization objective quality assessment subjective quality assessment

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Time-resolved analysis of dynamic graphs: an extended Slepian design 18

Time-resolved analysis of dynamic graphs: an extended Slepia...

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conference on wavelets and Sparsity xVIII

作者： Liegeois, Raphael Merad, Ibrahim Van De Ville, Dimitri Ecole Polytech Fed Lausanne Inst Bioengn Ctr Neuroprosthet Lausanne Switzerland Univ Geneva Dept Radiol & Med Informat Geneva Switzerland Ecole Normale Super Dept Math & Applicat Paris France

ISBN: (数字)9781510629707

ISBN: (纸本)9781510629707

Graphs are extensively used to represent networked data. In many applications, especially when considering large datasets, it is a desirable feature to focus the analysis onto specific subgraphs of interest. Slepian theory and its extension to graphs allows to do this and has been applied recently to analyze various types of networks. One limitation of this framework, however, is that the number of subgraphs of interest is typically limited to one. We introduce an extended Slepian design that allows to consider an arbitrary number of subgraphs of interest. This extension offers the possibility to encode prior information about multiple subgraphs in a two-dimensional plane. As a proof of concept and potential application, we demonstrate that this framework allows to perform time-resolved and spatio-temporal analyses of dynamic graphs.

关键词： Slepian functions dynamic graphs localization signal processing graph embedding

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Quaternion Alpha-Rooting image Enhancement of Grayscale images

Quaternion Alpha-Rooting Image Enhancement of Grayscale Imag...

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conference on Mobile Multimedia/image processing, Security, and applications

作者： Grigoryan, Artyom M. John, Aparna Agaian, Sos S. Univ Texas San Antonio San Antonio TX 78249 USA CUNY CSI Staten Isl NY 10314 USA

ISBN: (纸本)9781510626522

The proposed method is a new approach for enhancing grayscale images, when the images are map to quaternion space, and then, the quaternion based enhancement technique is used. Namely, the quaternion alpha-rooting method to enhance the so generated "quaternion" image. Currently, there are only very limited techniques to convert a grayscale image to color image, and in this article we propose a novel conversion technique which helps in easily converting a grayscale image to a color or quaternion image. In addition to that, we describe the quaternion alpha-rooting method of quaternion image enhancement. Quaternion approach of enhancement allows for processing the multi-signaled image as a single unit. The fast algorithm of quaternion discrete Fourier transforms makes the implementation of the enhancement method practically possible and effective. The results of image enhancement by the proposed method and comparison with the traditional alpha-rooting of grayscale images are described. The metric used to assess the quality of enhancement shows good values for the results of the proposed enhancement. One of the enhancement metrics is the contrast-based metric referred to as the enhancement measure estimation (EME). Other metrics used to assess the quality of the enhanced images are signal-to-noise ratio (SNR), mean-square-root error (MSRE).

关键词： Alpha-Rooting Quaternion Enhancement Grayscale Fourier Transforms

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Defending Against Adversarial Attacks in Deep Neural Networks

Defending Against Adversarial Attacks in Deep Neural Network...

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conference on Artificial Intelligence and Machine Learning for Multi-Domain Operations applications

作者： You, Suya Kuo, C-C Jay US Army Res Lab Playa Vista CA 90094 USA Univ Southern Calif Los Angeles CA 90089 USA

ISBN: (数字)9781510626782

ISBN: (纸本)9781510626782

We focus on defending against adversarial attacks in deep neural networks using signal analysis technology. The method employs a novel signal processing theory as a defense to adversarial perturbations. The method neither modifies the protected network nor requires knowledge of the process for generating adversarial examples. Extensive evaluation experiments demonstrate the efficiency and effectiveness of the proposed adversarial defending method.

关键词： Adversarial attacks deep neural networks image classification

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Smart Sensing of Systems Thermal Behavior Using Low Cost Infrared Cameras 45

Smart Sensing of Systems Thermal Behavior Using Low Cost Inf...

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45th Annual conference of the IEEE Industrial Electronics Society (IECON)

作者： Monte, Gustavo Marasco, Damian Solorzano, Lucas Vallejos, Javier Bufanio, Ruben Univ Tecnol Nacl Fac Reg Neuquen Plaza Huincul Argentina

ISBN: (纸本)9781728148786

Diagnosis through the analysis of thermal images is widely used and is one of the favorite tools of predictive maintenance. Due to the high cost of infrared cameras, this analysis is carried out through periodic manual inspections reusing the sensor element for several applications. The recent appearance of low-cost infrared cameras has enabled the development of static applications that observe and analyze the thermal behavior of critical systems over time. This work presents a proposal of an intelligent thermal sensor that acquires and processes low resolution images in real time with energy restrictions. The proposed thermal image processing is based on the analysis of local maxima and spatial and temporal gradients centered on these maxima. The standard IEEE 21451-001-2017 was applied used for signal processing. The image acquisition and processing are executed into a 16-bit microcontroller resulting in a compact thermal sensor with low cost and low power consumption and with the ability to understand and classify the thermal evolution of the observed system.

关键词： infrared cameras microcontrollers real time thermography thermal image processing low cost low power

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A Hybrid Structural Sparse Error Model for image Deblocking

A Hybrid Structural Sparse Error Model for Image Deblocking

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IEEE International conference on Acoustics, Speech and signal processing

作者： Zhiyuan Zha xin Yuan Jiantao Zhou Ce Zhu Bihan Wen School of Electrical & Electronic Engineering Nanyang Technological University Singapore Nokia Bell Labs Murray Hill NJ USA Department of Computer and Information Science University of Macau Macau China School of Information and Communication Engineering University of Electronic Science and Technology of China Chengdu China

ISBN: (数字)9781509066315

ISBN: (纸本)9781509066322

Inspired by the image nonlocal self-similarity (NSS) prior, structural sparse representation (SSR) models exploit each group as the basic unit for sparse representation, which have achieved promising results in various image restoration applications. However, conventional SSR models only exploited the group within the input degraded (internal) image for image restoration, which can be limited by over-fitting to data corruption. In this paper, we propose a novel hybrid structural sparse error (HSSE) model for image deblocking. The proposed HSSE model exploits image NSS prior over both the internal image and external image corpus, which can be complementary in both feature space and image plane. Moreover, we develop an alternating minimization with an adaptive parameter setting strategy to solve the proposed HSSE model. Experimental results demonstrate that the proposed HSSE-based image deblocking algorithm outperforms many state-of-the-art image deblocking methods in terms of objective and visual perception.

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Improved Depth Local Binary Pattern for Edge Detection of Depth image

Improved Depth Local Binary Pattern for Edge Detection of De...

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International conference on signal processing and Integrated Networks (SPIN)

作者： Navdeep Vijander Singh Asha Rani Sonal Goyal Department of Instrumentation and Control Engineering Delhi University Delhi India

ISBN: (数字)9781728154756

ISBN: (纸本)9781728154763

Depth images generally have low resolution, which leads to poor edge map from conventional edge detection methods. This necessitates the requirement of a consistent edge detection method for depth image applications. Therefore in this paper, improved depth local binary pattern (IDLBP) edge detection method based on local binary pattern is proposed for depth images. Experimentation is performed on synthetic and depth images to verify the validity of suggested technique. It is revealed that IDLBP is a fast, accurate and non-destructive edge detection technique. The depth local binary pattern, improved local binary pattern, hyper smoothing function based local binary pattern, Canny, Sobel and Laplacian of Gaussian edge detection techniques are also realized for comparative analysis. The effectiveness of suggested IDLBP algorithm is evaluated in terms of accuracy, Jaccard similarity index, specificity, sensitivity and dice similarity coefficient.

关键词： image edge detection image resolution Sensitivity Cameras signal processing Instruments Control engineering

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Gain Enhancement of Microstrip Sawtooth Antenna Array based on Substrate-Integrated Waveguide Technology for Dual-Band applications (Ku / K) 6

Gain Enhancement of Microstrip Sawtooth Antenna Array based ...

引用

6th International conference on image and signal processing and their applications, ISPA 2019

作者： Turkiya, Abes Keltouma, Nouri Seddik, Bouazza Boubaker Kada, Becharef Mehdi, Damou University Dr. MoulayTahar Technology of Communications Laboratory Saida Algeria

ISBN: (纸本)9781728131566

This paper introduces and studies a new approach to enhance the gain of Microstrip Antenna Array using the substrate integrated waveguide (SIW) in (Ku/K) band applications. The integration of SIW is first implemented in a single microstrip antenna and then in a 1x2 antenna array. This development is based on two designs, one for the 1x2 antenna array with microstrip feed-line with SIW and the other for the inset feed-line with *** these structures are designed and simulated using the Rogers Duroïd TM5880substrate (ϵr= 2.2 and h = 0.5mm) by means of the High Frequency Structure Simulator (HFSS). The proposed design improved gain and sufficient bandwidth. Therefore, the maximum bandwidth and gain obtained from the 1x2 SIW sawtooth antenna array is 410 MHz and 9.27dBi *** the end, the validation of the design 1x2 SIW antenna array is done by simulating the same antenna with another software CST. The results obtained from the both simulation software show a good agreement. © 2019 IEEE.

关键词： Antenna arrays

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Saliency-Based image Contrast Enhancement with Reversible Data Hiding

Saliency-Based Image Contrast Enhancement with Reversible Da...

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IEEE International conference on Acoustics, Speech and signal processing

作者： Shilong Yang School of Computer Science and Engineering South China University of Technology Guangzhou China

ISBN: (数字)9781509066315

ISBN: (纸本)9781509066322

Reversible data hiding (RDH) has become a hot research area in the recent years due to its wide applications such as authentication. Among all the RDH methods proposed, contrast enhancement based reversible data hiding is one that was recently proposed. However, most of the existing schemes proposed focus on image itself without taking human visual system (HVS) into account. Consequently, the full range of the redundancy from HVS cannot be fully exploited, and the resulting image may be visually unpleasing. In this paper, a new approach is proposed by introducing the visual saliency into the process of reversible data hiding. Specifically, a saliency fixation map is generated by using an existing saliency prediction model, followed by a saliency guided segmentation to better enhance the salient regions in the input image. The evaluation results show that the proposed method yields better visual results and outperforms the existing methods in statistical metrics.

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