Y. Abramovich, G. Frazer, B.A. Johnson, N. Spencer
{"title":"Iterative adaptive Kronecker receiver for MIMO over-the-horizon radar","authors":"Y. Abramovich, G. Frazer, B.A. Johnson, N. Spencer","doi":"10.1109/ISPA.2009.5297757","DOIUrl":"https://doi.org/10.1109/ISPA.2009.5297757","url":null,"abstract":"We introduce an iterative adaptive multiple-input-multiple-output (MIMO) radar receiver that is useful when the KL-variate adaptive transmit-receive beamformer is structured as the Kronecker product of a K-variate transmit and an L-variate receive beamformer. We consider the case of two clutter propagation modes with different elevation angles, and where the direction-of-departure (DoD) of one mode and the direction-of-arrival (DoA) of the other mode coincide with that of a target. For an example simulation scenario, we demonstrate that our iterative adaptive ldquoKronecker receiverrdquo achieves high performance.","PeriodicalId":382753,"journal":{"name":"2009 Proceedings of 6th International Symposium on Image and Signal Processing and Analysis","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124112935","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Isometric transformations of the dual of the hexagonal lattice","authors":"B. Nagy","doi":"10.1109/ISPA.2009.5297709","DOIUrl":"https://doi.org/10.1109/ISPA.2009.5297709","url":null,"abstract":"Transformations of the used grid are basics of several algorithms of image processing and computer graphics. In this paper isometrical transformations on a hexagonal grid are provided, the vertices of the hexagonal grid are used in our grid as points. Simple transformations are widely used in square and cubic grids, where the space is described by independent coordinate values. Translations, rotations and mirror images of the grid are described mathematically using a symmetric coordinate system with 0 and 1 sum values.","PeriodicalId":382753,"journal":{"name":"2009 Proceedings of 6th International Symposium on Image and Signal Processing and Analysis","volume":"87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126319677","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Strzelecki, P. Szczypiński, A. Materka, M. Kociński, A. Sankowski
{"title":"Level-set segmentation of noisy 3D images of numerically simulated blood vessels and vascular trees","authors":"M. Strzelecki, P. Szczypiński, A. Materka, M. Kociński, A. Sankowski","doi":"10.1109/ISPA.2009.5297641","DOIUrl":"https://doi.org/10.1109/ISPA.2009.5297641","url":null,"abstract":"The objective of this paper is to evaluate performance of the level set approach applied to segmentation and tracking of noisy 3D images of computer-simulated blood-vessel phantoms and artificial vascular trees. Of particular interest was the segmentation of thin vessels, with diameter smaller that voxel size. Flood fill technique was also explored, for comparison. Quantitative measures of segmentation accuracy were used for the methods evaluation. It was demonstrated, that the level set method provides good segmentation results even for noisy images. This promising result encourages its future application for vascularity modeling based on MR images.","PeriodicalId":382753,"journal":{"name":"2009 Proceedings of 6th International Symposium on Image and Signal Processing and Analysis","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126353931","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Hearing aids: an overview of the state-of-the-art, challenges, and future trends of an interesting audio signal processing application","authors":"H. Puder","doi":"10.1109/ISPA.2009.5297793","DOIUrl":"https://doi.org/10.1109/ISPA.2009.5297793","url":null,"abstract":"This paper is intended to give an overview of problems of hearing impairment and audio signal processing in hearing aids. First, the physiological requirements due to hearing impairment are explained and different hearing aid types are demonstrated. The main part of the paper is dedicated to present the different audio processing methods in modern hearing aids. Especially beamforming and noise reduction systems are focussed on. Future trends mainly address binaural directional processing. Here, an approach based on blind source separation is described.","PeriodicalId":382753,"journal":{"name":"2009 Proceedings of 6th International Symposium on Image and Signal Processing and Analysis","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126457118","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Runtime-optimised intra-4×4 mode-decision for H.264/AVC video encoding","authors":"Harald Jordan, F. Seitner, M. Bleyer, M. Gelautz","doi":"10.1109/ISPA.2009.5297753","DOIUrl":"https://doi.org/10.1109/ISPA.2009.5297753","url":null,"abstract":"We describe a method that considerably improves the computational behaviour of H.264 intra-only encoders. Such intra-only encoders come to use in video-cutting and low-latency video coding where temporal prediction via using inter-frames is no feasible option. We identify the spatial prediction step as the computational bottleneck in intra-only encoders. In this step, the encoder tests various modes that represent predictions of the current macroblock's or sub-macroblock's texture from spatial neighbouring pixels in order to find the mode of lowest residuum. Unfortunately, testing the complete set of allowed modes is computational expensive. However, as is demonstrated by an analysis provided in this paper, it is reasonable to assume that a large percentage of blocks preserve their prediction modes over time. Based on this assumption we develop two algorithms that improve the computation time in the prediction step. These algorithms differ by their criteria used to decide whether a block's coding mode can be propagated from a temporal preceding frame. Computational speed is enhanced, since we test the full set of modes only for blocks that fail these criteria. Experimental results show that our methods considerably improve the execution time of an intra-only encoder and only show small impact on data-rate and image quality.","PeriodicalId":382753,"journal":{"name":"2009 Proceedings of 6th International Symposium on Image and Signal Processing and Analysis","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125976908","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Multiple position room response equalization: Frequency domain prototype design strategies","authors":"A. Carini, I. Omiciuolo, G. Sicuranza","doi":"10.1109/ISPA.2009.5297663","DOIUrl":"https://doi.org/10.1109/ISPA.2009.5297663","url":null,"abstract":"In this paper we consider an alternative to the multiple position room response equalization technique developed by Bharitkar and Kyriakakis. In fact, the original approach proposed by Bharitkar and Kyriakakis works in the time domain and employs a fuzzy c-means clustering algorithm for combining multiple measures of the room response into a single prototype response used for the equalizer design. Recently, by working in the frequency domain we have derived an efficient implementation of the room response equalization technique that avoids many onerous operations of the approach of Bharitkar and Kyriakakis. In this paper, we discuss different techniques that can replace the fuzzy c-means clustering algorithm in the derivation of the prototype room response. The techniques we discuss naturally arise from the frequency domain implementation of the room response equalization system. In addition, they have a much lower computational complexity than the fuzzy c-means clustering. In all our experiments, the equalization performances of the system equipped with the proposed prototype design techniques have been at least similar to those of the original approach of Bharitkar and Kyriakakis.","PeriodicalId":382753,"journal":{"name":"2009 Proceedings of 6th International Symposium on Image and Signal Processing and Analysis","volume":"146 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134352824","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"An Autonomy Oriented Computing approach to image-component labeling","authors":"B. Samarzija, S. Ribaric","doi":"10.1109/ISPA.2009.5297745","DOIUrl":"https://doi.org/10.1109/ISPA.2009.5297745","url":null,"abstract":"This paper presents an autonomy oriented computing (AOC) approach to gray-level image-component labeling. The basic elements of such AOC systems are autonomous entities placed in an environment. The environment, in our case, is viewed as a two-layer 2D lattice containing a gray-level image in the first layer and a notice board at the second layer. The environment serves as the place where autonomous entities reside, roam and operate. The goal of each autonomous entity is to locate and label image pixels belonging to the homogeneous component according to the specified criteria of the region's homogeneity. During the image exploration and evaluation the entities rely on their reactive and rational behaviors, such as diffusion, breeding and communication. By communicating, the entities are able to determine distinct components by assigning them different labels. Experiments based on a simulation of the proposed AOC system were run over a set of images from ldquoblocks worldrdquo.","PeriodicalId":382753,"journal":{"name":"2009 Proceedings of 6th International Symposium on Image and Signal Processing and Analysis","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134374319","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Image enhancement via space-adaptive lifting scheme using spatial domain adaptive Wiener filter","authors":"H. Tasmaz, E. Erçelebi","doi":"10.1109/ISPA.2009.5297725","DOIUrl":"https://doi.org/10.1109/ISPA.2009.5297725","url":null,"abstract":"This paper proposes an image enhancement method which is based on space-adaptive lifting scheme. The space-adaptive lifting scheme is designed with update-first strategy and the spatial domain adaptive Wiener filter is used for subband image enhancement. The space-adaptive lifting scheme is superior to the scale-adaptive one in that, the prediction stage is adapted to the signal structure pixel-by-pixel (not scale-by-scale) which results in a better signal representation and better image enhancement. A novel adaptive prediction method is proposed in the 2D lifting scheme. The method adaptively chooses the best prediction filter (predictor), among a set of predictors, based on minimizing the prediction error (or detail coefficient). The experimental results and objective quality test results prove the accomplishment of the proposed image enhancement method.","PeriodicalId":382753,"journal":{"name":"2009 Proceedings of 6th International Symposium on Image and Signal Processing and Analysis","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131798955","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
C. Brauer-Burchardt, Stephan Schroder, M. Trost, P. Kuhmstedt, A. Duparré, G. Notni
{"title":"Roughness determination of ultra thin multilayer coatings in cross-section images with poor SNR using edge localization","authors":"C. Brauer-Burchardt, Stephan Schroder, M. Trost, P. Kuhmstedt, A. Duparré, G. Notni","doi":"10.1109/ISPA.2009.5297744","DOIUrl":"https://doi.org/10.1109/ISPA.2009.5297744","url":null,"abstract":"The interface roughness of multilayer coatings consisting of ultra thin alternating layers strongly influences the optical properties of dielectric mirrors. However, the technical possibilities for its characterization are limited. In this paper a new method for roughness determination of multilayer systems based on cross-section images is introduced. The core of the method is a new edge localization algorithm which is very robust even in the case of very low signal to noise ratio below three. Accuracy analysis is given and results are presented.","PeriodicalId":382753,"journal":{"name":"2009 Proceedings of 6th International Symposium on Image and Signal Processing and Analysis","volume":"526 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127630979","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
R. Verdú-Monedero, J. Larrey-Ruiz, J. Morales-Sánchez, J. Sancho-Gómez
{"title":"Automatic DRR enhancement for patient positioning in a radiotherapy treatment","authors":"R. Verdú-Monedero, J. Larrey-Ruiz, J. Morales-Sánchez, J. Sancho-Gómez","doi":"10.1109/ISPA.2009.5297735","DOIUrl":"https://doi.org/10.1109/ISPA.2009.5297735","url":null,"abstract":"Digitally reconstructed radiographies (DRR's) turn out to be essential in the planning and verification of radio-therapy treatments. These images are used in radiotherapy planning in order to mark out the area to be radiated. In a later stage, at the beginning of each radiation session, several DRR's are compared with portal images which are acquired at the moment. By means of image registration tasks, the displacement field between DRR's and portal images is obtained and the correct positioning of the patient is achieved. The preprocessing of both kinds of images is mandatory for the correct operation of the image registration algorithm. The aim of this paper is to describe the automatic enhancement of DRR's to be integrated in the Hospital Universitario Virgen de la Arrixaca (Murcia, Spain). Due to the properties of the DRR's provided by the medical system, morphological operations performs a robust and an efficient result, as shown in the corresponding section.","PeriodicalId":382753,"journal":{"name":"2009 Proceedings of 6th International Symposium on Image and Signal Processing and Analysis","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132569310","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}