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23nd signal processing and Communications applications conference (SIU)

作者： Arisoy, Sertac Kayabol, Koray Gebze Tekn Univ Elekt Muhendisligi Bolumu Gebze Turkey

ISBN: (纸本)9781467373869

We propose a superpixel-based classification method for finding area such as urban, land, lake etc. in SAR image. For classification, we use superpixel histograms as features. We compare the results of state-of-the-art superpixel methods with the one of recently proposed SAR image specific superpixel method. The test results obtained from a real TerraSAR-x image show that the SAR image specific method outperforms the state-of-the-art ones.

关键词： Superpixel classification SAR image finite mixture models

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A robust and real-time image based lane departure warning system

A robust and real-time image based lane departure warning sy...

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IEEE International conference on Consumer Electronics (ICCE)

作者： Prashanth Viswanath Pramod Swami Texas Instruments India Pvt Ltd Bangalore India

Lane departure warning (LDW) systems have gained a lot of interest over the last few years. EuroNCAP regulations mandate European car makers to have LDW system to get star rating. In this paper, we propose a simple image-based implementation of LDW system optimized for the Texas Instruments (TI) C66x Digital signal Processor (DSP). We show that our solution is able to overcome certain challenges faced in prior methods and consumes only 2.3 mega cycles/frame of the DSP, leaving the rest of the DSP for other applications. We also share some results of our implementation.

关键词： image edge detection Alarm systems Digital signal processing Transforms Roads conferences Consumer electronics

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Compression of Digital Holographic Data: an Overview 38

Compression of Digital Holographic Data: an Overview

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conference on applications of Digital image processing xxxVIII

作者： Dufaux, Frederic xing, Yafei Pesquet-Popescu, Beatrice Schelkens, Peter Telecom ParisTech Inst Mines Telecom CNRS LTCI F-75013 Paris France Vrije Univ Brussel Dept Elect & Informat ETRO B-1050 Brussels Belgium IMinds Dept Future Media & Imaging B-9050 Ghent Belgium

ISBN: (纸本)9781628417654

Holography has the potential to become the ultimate 3D experience. Nevertheless, in order to achieve practical working systems, major scientific and technological challenges have to be tackled. In particular, as digital holographic data represents a huge amount of information, the development of efficient compression techniques is a key component. This problem has gained significant attention by the research community during the last 10 years. Given that holograms have very different signal properties when compared to natural images and video sequences, existing compression techniques (e.g. JPEG or MPEG) remain suboptimal, calling for innovative compression solutions. In this paper, we will review and analyze past and on-going work for the compression of digital holographic data.

关键词： Digital holography computer generated holography wavelets direction-adaptive discrete wavelet transform packet decompositions vector lifting scheme JPEG 2000 image compression

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Occlusion-resistant target tracking by the particle filter track-before-detect algorithm

Occlusion-resistant target tracking by the particle filter t...

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IEEE signal processing and Communications applications (SIU)

作者： Osman Topçu Hakan Büyük Tübitak UZAY Teknolojileri Araştırma Enstitüsü Ankara Türkiye

Targets with low signal to noise ratio are difficult to detect. Track-before-detect algorithm detects weak targets by sufficiently tracking them. Particle filter track-before-detect algorithm is flexible enough to be modified for occlusion handling. The first novelty of this work, is the modification of the particle filter track-before-detect algorithm to handle occlusions. The second one is the modeling of the image of a point target on an electro-optic sensor. For this purpose, an optical system design is made and point spread function of the system is modeled by a Gaussian function, that changes as the angle to the optical center of the sensor changes. This Gaussian model includes amplitude, optical distortion, x and Y axis standard deviations. The proposed algorithm is tested with varying signal to noise ratios and successful tracking and detection is achieved during occlusion and maneuvering of the target.

关键词： Reactive power Target tracking Optical distortion Monte Carlo methods Art signal to noise ratio Algorithm design and analysis

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Three Dimensional Data-Driven Multi Scale Atomic Representation of Optical Coherence Tomography

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IEEE TRANSACTIONS ON MEDICAL IMAGING 2015年第5期34卷 1042-1062页

作者： Kafieh, Raheleh Rabbani, Hossein Selesnick, Ivan Isfahan Univ Med Sci Dept Biomed Engn Med Image & Signal Proc Res Ctr Esfahan Iran NYU Polytech Inst Dept Elect & Comp Engn Brooklyn NY 11201 USA

In this paper, we discuss about applications of different methods for decomposing a signal over elementary waveforms chosen in a family called a dictionary (atomic representations) in optical coherence tomography (OCT). If the representation is learned from the data, a nonparametric dictionary is defined with three fundamental properties of being data-driven, applicability on 3D, and working in multi-scale, which make it appropriate for processing of OCT images. We discuss about application of such representations including complex wavelet based K-SVD, and diffusion wavelets on OCT data. We introduce complex wavelet based K-SVD to take advantage of adaptability in dictionary learning methods to improve the performance of simple dual tree complex wavelets in speckle reduction of OCT datasets in 2D and 3D. The algorithm is evaluated on 144 randomly selected slices from twelve 3D OCTs taken by Topcon 3D OCT-1000 and Cirrus Zeiss Meditec. Improvement of contrast to noise ratio (CNR) (from 0.9 to 11.91 and from 3.09 to 88.9, respectively) is achieved. Furthermore, two approaches are proposed for image segmentation using diffusion. The first method is designing a competition between extended basis functions at each level and the second approach is defining a new distance for each level and clustering based on such distances. A combined algorithm, based on these two methods is then proposed for segmentation of retinal OCTs, which is able to localize 12 boundaries with unsigned border positioning error of 9.22 +/- 3.05 mu m, on a test set of 20 slices selected from 13 3D OCTs.

关键词： Denoising dictionary learning diffusion wavelet optical coherence tomography three-dimensional (3D) complex wavelet transform segmentation

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Suspect camera determination

Suspect camera determination

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IEEE signal processing and Communications applications (SIU)

作者： Adem Yaşar Faruk Deniz Mehmet Doru Jandarma Kriminal Daire Başkanlığı Ankara Türkiye

In this study; photograph and photograph frames taken from videos were examined for suspect camera detection. These analyses were carried out on examples taken from 15 cameras, 1 video camera and 7 mobile phones. Two methods were used for suspect camera detection. Firstly, to detect dead pixel. In dead pixel analyses first step is detecting whether there is a dead pixcel on photographs by way of using some software (ex: dead ***). If there is a dead pixel, second step is to determine the location of this dead pixel on x-y coordination system. Secondly; it is a examination that is carried out on photographs/images taken from suspect cameras by using Quantitation, Exif, Average and PRNUC filters belonging to FIAS (Forensic Imaging Analysis System). As a result; in the light of the findings obtained, it is evaluated that suspect camera detection analysis can contribute to forensic digital imaging examining field.

关键词： Quantization (signal) Cameras Forensics Earth Observing System image analysis Videos Charge coupled devices

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Transform domain steganography with blind source separation

Transform domain steganography with blind source separation

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

作者： Jouny, Ismail Lafayette Coll Dept Elect & Comp Engn Easton PA 18042 USA

ISBN: (纸本)9781628416138

This paper applies blind source separation or independent component analysis for images that may contain mixtures of text, audio, or other images for steganography purposes. The paper focuses on separating mixtures in the transform domain such as Fourier domain or the Wavelet domain. The study addresses the effectiveness of steganography when using linear mixtures of multimedia components and the ability of standard blind sources separation techniques to discern hidden multimedia messages. Mixing in the space, frequency, and wavelet (scale) domains is compared. Effectiveness is measured using mean square error rate between original and recovered images.

关键词： Blind Source Separation Steganography wavelets Discrete Cosine Transform

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An anatomization of noise removal techniques on medical images

An anatomization of noise removal techniques on medical imag...

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International conference on Innovation and Challenges in Cyber Security (ICICCS-INBUSH)

作者： Madhulika Pandey Madhulika Bhatia Abhay Bansal Computer Science and Engineering Department Amity University Noida India

ISBN: (纸本)9781509020850

In applications of signal processing such as medicine, communications and satellites, preprocessing is considered as a vital step which focuses on reduction or removal of the level of the noise contained in the image. The process of denoising helps in preserving the finer details and useful information. Medical images like MRI, CT and x-ray contain very fine details that need to be correct and free from noise so that the information and features of interests are not lost during the diagnosis. In this paper, various noise reduction techniques such as wavelet transform, Neural Network, PCA, ICA and mean and median filters over medical images has been discussed. In this paper we tried to highlight the strength and weakness of various noise removal techniques over processing of the medical images.

关键词： Medical diagnostic imaging image edge detection Artificial neural networks Noise reduction Uncertainty Principal component analysis

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A New Data Hiding Algorithm Based on Direction Vector for Digital images 23

A New Data Hiding Algorithm Based on Direction Vector for Di...

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23nd signal processing and Communications applications conference (SIU)

作者： Tuncer, Turker Aver, Engin Firat Univ Adli Bilisim Muhendisligi Bolumu Elazig Turkey Firat Univ Yazilim Muhendisligi Bolumu Elazig Turkey

ISBN: (纸本)9781467373869

Nowadays, data hiding algorithms are widely used These algorithms performance criteria of reliability, capacity, transparency and robustness. Reliability of data hiding algorithms in use today has become the subject of debate. In this study, the vector direction based on a high capacity data hiding algorithm is proposed This process image data hiding algorithm that case gezilerek 3x3 blocks are performed. Each 3x3 block of 4 bits are embedded To reduce the variation in carrier has benefited the edge extraction algorithms. The algorithm used is reliable, less the change in carrier and a high-capacity data hiding algorithm.

关键词： Data Hiding Steganography image processing Edge Detector

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Fully Polarimetric High Resolution Airborne SAR image Change Detection with Morphological Component Analysis 21

Fully Polarimetric High Resolution Airborne SAR Image Change...

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conference on image and signal processing for Remote Sensing xxI

作者： Dominguez, E. Mendez Henke, D. Small, D. Meier, E. Univ Zurich Dept Geog RSL CH-8057 Zurich Switzerland

ISBN: (纸本)9781628418538

Change detection for high resolution Synthetic Aperture Radar (SAR) imagery requires advanced denoising mechanisms to preserve details and minimize speckle. In this work, we propose a change detector based on a Morphological Component Analysis (MCA) of the scattering mechanisms provided with fully polarimetric data sets. With MCA, the power of each scattering mechanism is decomposed into diverse image features. By introducing a priori knowledge of the content of the scenes, and exploiting both the scattering mechanisms and their corresponding shapes, we can significantly improve performance, with fewer false alarms introduced by clutter, focusing errors, and inconsistent acquisition geometries.

关键词： Scattering Polarimetry Synthetic aperture radar wavelets Sensors image resolution RGB color model Composites Point spread functions Calibration

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