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2009 International Workshop on Local and Non-Local Approximation in Image Processing最新文献

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Imaging without optics: Optics-less smart sensors 无光学成像:无光学的智能传感器
2009 International Workshop on Local and Non-Local Approximation in Image Processing Pub Date : 2009-10-06 DOI: 10.1109/LNLA.2009.5278401
L. Yaroslavsky, C. Goerzen, S. Umansky, H. Caulfield
{"title":"Imaging without optics: Optics-less smart sensors","authors":"L. Yaroslavsky, C. Goerzen, S. Umansky, H. Caulfield","doi":"10.1109/LNLA.2009.5278401","DOIUrl":"https://doi.org/10.1109/LNLA.2009.5278401","url":null,"abstract":"A new family of radiation sensors is introduced that does not require any optics. These sensors consist of array of bare radiation detectors whose angular sensitivity is determined solely by their surface absorption. This array is supplemented with a signal processing unit that uses the detector outputs to compute optimal statistical estimates of the intensities and coordinates of radiation sources. Such sensors are capable of accurate localization and intensity estimation of a given number of radiation sources and of image forming when assuming of a given number of sources in known positions. The estimation accuracy is found to depend on the detectors' noise level, on the number of detectors and on spacing between radiation sources. Advantages and limitations of proposed opticsless sensors are discussed. In addition a hypothesis is advanced that the operational principle of the sensors can shed a light on possible mechanisms of cutaneous vision in Nature and on evolution of vision.","PeriodicalId":231766,"journal":{"name":"2009 International Workshop on Local and Non-Local Approximation in Image Processing","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126365245","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}
引用次数: 0
Normalized Cross-Correlation using SOFT 使用软归一化互相关
2009 International Workshop on Local and Non-Local Approximation in Image Processing Pub Date : 2009-10-06 DOI: 10.1109/LNLA.2009.5278398
B. Huhle, T. Schairer, W. Straßer
{"title":"Normalized Cross-Correlation using SOFT","authors":"B. Huhle, T. Schairer, W. Straßer","doi":"10.1109/LNLA.2009.5278398","DOIUrl":"https://doi.org/10.1109/LNLA.2009.5278398","url":null,"abstract":"We present a novel method to compute the Normalized Cross-Correlation (NCC) of spherical signals such as omnidirectional images for the purpose of image alignment, i.e. orientation estimation, or template tracking. Expanding the reference image and the search template in the spherical harmonics basis, we use the Fourier representation of SO(3) as introduced by Kostelec and Rockmore. We show that the normalized version of the cross-correlation function with regard to orientation can be expressed in terms of standard correlation terms and the NCC can therefore be computed efficiently in O (N3 log2(N)). The approach is validated with experiments on real image sequences in a template matching application.","PeriodicalId":231766,"journal":{"name":"2009 International Workshop on Local and Non-Local Approximation in Image Processing","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130498877","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}
引用次数: 9
Design of orthogonal transforms based on partition of unity method and their application to image compression 基于单位分割法的正交变换设计及其在图像压缩中的应用
2009 International Workshop on Local and Non-Local Approximation in Image Processing Pub Date : 2009-10-06 DOI: 10.1109/LNLA.2009.5278390
Samvel Khachatryan, L. Minasyan
{"title":"Design of orthogonal transforms based on partition of unity method and their application to image compression","authors":"Samvel Khachatryan, L. Minasyan","doi":"10.1109/LNLA.2009.5278390","DOIUrl":"https://doi.org/10.1109/LNLA.2009.5278390","url":null,"abstract":"In this work a new complete system of trigonometric functions for representation of finite continuous functions is defined. New discrete orthogonal transforms are synthesized by discretization and orthonormalization of the proposed system of functions. An image compression algorithm using the synthesized transform is developed. The proposed algorithm illustrates high compression ratio and good reconstruction quality as confirmed by a numerous of experiments.","PeriodicalId":231766,"journal":{"name":"2009 International Workshop on Local and Non-Local Approximation in Image Processing","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130979818","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}
引用次数: 0
Lossy compression of images corrupted by mixed Poisson and additive Gaussian noise 混合泊松和加性高斯噪声损坏图像的有损压缩
2009 International Workshop on Local and Non-Local Approximation in Image Processing Pub Date : 2009-10-06 DOI: 10.1109/LNLA.2009.5278407
V. Lukin, S. Krivenko, M. Zriakhov, N. Ponomarenko, S. Abramov, A. Kaarna, K. Egiazarian
{"title":"Lossy compression of images corrupted by mixed Poisson and additive Gaussian noise","authors":"V. Lukin, S. Krivenko, M. Zriakhov, N. Ponomarenko, S. Abramov, A. Kaarna, K. Egiazarian","doi":"10.1109/LNLA.2009.5278407","DOIUrl":"https://doi.org/10.1109/LNLA.2009.5278407","url":null,"abstract":"Lossy compression of images corrupted by mixed Poisson and additive Gaussian noise is considered. Peculiarities of noise filtering effects observed for two approaches to image compression are studied. This is first done for specially created artificial image and, then, for two standard test images. It is shown that the standard (direct) approach to lossy compression leads to different degrees of noise suppression depending upon image mean in homogeneous regions. The use of root transformation leads to better results. Moreover, coder parameters can be adjusted to mixed noise parameters if they are known a priori. Then it becomes possible to reach optimal operation point (OOP), i.e., such compression ratio (CR) or bpp that provide maximal peak signal-to noise ratio (PSNR) or minimal MSE calculated between compressed and noise free images without having an actual noise-free image. A provided CR can be about 10⋯30 depending upon image complexity.","PeriodicalId":231766,"journal":{"name":"2009 International Workshop on Local and Non-Local Approximation in Image Processing","volume":"2 9","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113932731","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}
引用次数: 9
High capacity reversible data hiding based on histogram shifting and non-local means 基于直方图移位和非局部均值的大容量可逆数据隐藏
2009 International Workshop on Local and Non-Local Approximation in Image Processing Pub Date : 2009-10-06 DOI: 10.1109/LNLA.2009.5278392
V. Conotter, G. Boato, M. Carli, K. Egiazarian
{"title":"High capacity reversible data hiding based on histogram shifting and non-local means","authors":"V. Conotter, G. Boato, M. Carli, K. Egiazarian","doi":"10.1109/LNLA.2009.5278392","DOIUrl":"https://doi.org/10.1109/LNLA.2009.5278392","url":null,"abstract":"In this paper we propose a new reversible data hiding framework which applies prediction in the embedding procedure by suitably modifying the prediction errors and exploits non-local similarity in the prediction phase to estimate the to-be-predicted value. This results in a scheme which can be jointly used with different predictors and allows reaching high embedding capacity while preserving a high image quality. Extensive simulations demonstrate the effectiveness of the proposed approach.","PeriodicalId":231766,"journal":{"name":"2009 International Workshop on Local and Non-Local Approximation in Image Processing","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115048382","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}
引用次数: 10
Doppler radar signatures analysis by using joint bispectrum-based time-frequency distributions 基于联合双谱时频分布的多普勒雷达特征分析
2009 International Workshop on Local and Non-Local Approximation in Image Processing Pub Date : 2009-10-06 DOI: 10.1109/LNLA.2009.5278393
J. Astola, K. Egiazarian, P. Molchanov, A. Totsky
{"title":"Doppler radar signatures analysis by using joint bispectrum-based time-frequency distributions","authors":"J. Astola, K. Egiazarian, P. Molchanov, A. Totsky","doi":"10.1109/LNLA.2009.5278393","DOIUrl":"https://doi.org/10.1109/LNLA.2009.5278393","url":null,"abstract":"Estimation of instantaneous frequency (IF) time-varying behavior of a non-stationary and multi-component signals embedded in additive Gaussian noise is considered for Wigner-Ville (WVD), Wigner bispecrum (WBD), parametric (PBBD) and non-parametric (NPBBD) bispectrum-based distributions. A performance comparative study between WVD, WBD, PBBD and NPBBD is carried out by computer simulations both for several non-stationary and multi-component test signals and real radar backscattered echo-signals measured by Doppler surveillance radar for a moving human. Analysis of time-frequency (TF) distributions shows that bispectrum-based approach permits to detect and extract phase coupling among pairs of Doppler IFs containing in non-stationary and multi-component wideband signals. Experimental radar micro-Doppler signatures derived from the returns measured for moving human demonstrate important information features about the object dynamics and kinematics. These information features can be useful in radar automatic target recognition systems.","PeriodicalId":231766,"journal":{"name":"2009 International Workshop on Local and Non-Local Approximation in Image Processing","volume":"2012 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121549269","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}
引用次数: 7
Anti-aliasing filtering of 2D images for multi-view auto-stereoscopic displays 用于多视图自动立体显示的二维图像的抗混叠滤波
2009 International Workshop on Local and Non-Local Approximation in Image Processing Pub Date : 2009-10-06 DOI: 10.1109/LNLA.2009.5278399
A. Boev, R. Bregović, D. Damyanov, A. Gotchev
{"title":"Anti-aliasing filtering of 2D images for multi-view auto-stereoscopic displays","authors":"A. Boev, R. Bregović, D. Damyanov, A. Gotchev","doi":"10.1109/LNLA.2009.5278399","DOIUrl":"https://doi.org/10.1109/LNLA.2009.5278399","url":null,"abstract":"In this paper, we address the problem of anti-aliasing filtering of images to be displayed on auto-stereoscopic displays. Auto-stereoscopic displays are constructed to create 3D visual effect by no special glasses but utilizing extra optical layer to cast different images to different directions. The topology of such layer is a compromise between the number of different views generated and the spatial resolution per view being fraction of the full 2D spatial resolution. Usually, the compromise is achieved by slanted and non-rectangular sub-sampling grids causing however corresponding aliasing artefacts. These artefacts are especially visible and annoying when 2D imagery, such as graphics and text, is to be displayed on auto-stereoscopic displays. In our work, we design efficient anti-aliasing filters to mitigate this effect. Two classes of filters are studied for a 3D display case. The first class is the class of non-separable filters, which takes into account the non-rectangular topology of the particular sub-sampling grid and the effect of inter-view crosstalk, and aims at suppressing the respective aliasing replicas appearing in non-rectangular positions on the 2D Fourier plane. The second class is the class of efficient separable 2D filters based on 1D anti-aliasing filter design. We demonstrate that the latter class results in subjectively higher quality images. Studying this particular case further, we design filters for different types of imagery, distinguishing between text and graphics and also between ‘smooth’ and ‘sharp’ target anti-aliased images. As it is difficult to quantify the results by objective measures, we illustrate them by visual examples. Subjective inspections have also confirmed the feasibility of our approach.","PeriodicalId":231766,"journal":{"name":"2009 International Workshop on Local and Non-Local Approximation in Image Processing","volume":"773-774 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132753292","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}
引用次数: 9
Context based super resolution image reconstruction 基于上下文的超分辨率图像重建
2009 International Workshop on Local and Non-Local Approximation in Image Processing Pub Date : 2009-10-06 DOI: 10.1109/LNLA.2009.5278402
E. Turgay, G. Akar
{"title":"Context based super resolution image reconstruction","authors":"E. Turgay, G. Akar","doi":"10.1109/LNLA.2009.5278402","DOIUrl":"https://doi.org/10.1109/LNLA.2009.5278402","url":null,"abstract":"In this paper a context based super-resolution (SR) image reconstruction method is proposed. The proposed maximum a-posteriori (MAP) based estimator identifies local gradients and textures for selecting the optimal SR method for the region of interest. Texture segmentation and gradient map estimation are done prior to the reconstruction stage. Gradient direction is used for optimal noise reduction along the edges for non-textured regions. On the other hand, regularization term is cancelled for textured regions so that the resultant method reduces to maximum likelihood (ML) solution. It is demonstrated on Brodatz Texture Database that ML solution gives the best PSNR values on textures compared to the regularized SR methods in the literature. Experimental results show that the proposed hybrid method has superior performance in terms of Peak Signal-to-Noise-Ratio (PSNR), Structural Similarity Index Measure (SSIM) compared the SR methods in the literature.","PeriodicalId":231766,"journal":{"name":"2009 International Workshop on Local and Non-Local Approximation in Image Processing","volume":"287 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114611243","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}
引用次数: 8
Cross-color BM3D filtering of noisy raw data 杂讯原始数据的跨色BM3D滤波
2009 International Workshop on Local and Non-Local Approximation in Image Processing Pub Date : 2009-10-06 DOI: 10.1109/LNLA.2009.5278395
Aram Danielyan, M. Vehvilainen, A. Foi, V. Katkovnik, K. Egiazarian
{"title":"Cross-color BM3D filtering of noisy raw data","authors":"Aram Danielyan, M. Vehvilainen, A. Foi, V. Katkovnik, K. Egiazarian","doi":"10.1109/LNLA.2009.5278395","DOIUrl":"https://doi.org/10.1109/LNLA.2009.5278395","url":null,"abstract":"Color image reconstruction from noisy color filter array (CFA) data is considered. A modification of the Block Matching 3D (BM3D) [2] filter for CFA data denoising utilizing cross-color correlations is proposed. Denoised images are then demosaicked by algorithms developed for noise-free data leading to state-of-the-art performance for both Gaussian and Poissonian noise models.","PeriodicalId":231766,"journal":{"name":"2009 International Workshop on Local and Non-Local Approximation in Image Processing","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116498694","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}
引用次数: 51
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