model based adaptive image restoration
Line field based adaptive image model for blind deblurring
... and different image models such as Total Variation model, Simultaneous Auto-Regression model, and LiFeAIM The experimental result show that the adaptive image models, Total Variation model and LiFeAIM, ... objectives of the thesis are: To construct an adaptive image model based on the line field model To examine the proposed model s performance for image restoration by using it for the denoising ... called LiFeAIM, which stands for Line Field based Adaptive Image Model We use the model in a denoising algorithm to examine its goodness in image restoration The experimental result is competent...
- 163
- 181
- 0
Báo cáo hóa học: " Research Article A T-S Fuzzy Model-Based Adaptive Exponential Synchronization Method for Uncertain " docx
... synchronization and chaotic model following control The authors in 24, 25 proposed fuzzy observer -based chaotic synchronization and secure communication In 26, 27 , fuzzy adaptive synchronization ... is to investigate the fuzzy adaptive exponential synchronization problem for time delayed chaotic systems with unknown parameters T-S fuzzy model is adopted for the modeling of time delayed chaotic ... chaotic drive and response systems Based on this fuzzy model, a new fuzzy synchronization controller is designed and an analytic expression of the controller with its adaptive laws of parameters is...
- 14
- 270
- 0
báo cáo hóa học: " A scale-based forward-and-backward diffusion process for adaptive image enhancement and denoising" pdf
... regions of the images are displayed Figures and depict the restored images using the six algorithms, for visual quality assessment The (a) (b) Figure Lena image (a) Original image (b) Noisy image with ... (h) Figure 10 Enhanced images for the 3-dimensional data volume of a T1-weighted MR simulated image (a) Original MR image (slice 80) (b) Corrupted MR image (c) Enhanced MR image with CAD (d) WAD ... (h) Figure 11 Enhanced images for the 3-dimensional data volume of a T2-weighted MR simulated image (a) Original MR image (slice 80) (b) Corrupted MR image (c) Enhanced MR image with CAD (d) WAD...
- 19
- 436
- 0
Báo cáo hóa học: " Research Article Block-Based Adaptive Vector Lifting Schemes for Multichannel Image Coding" doc
... 512 multichannel images used in our experiments All these images are bpp multispectral satellite images The Trento6 image corresponds to the Landsat-Thematic Mapper Trento7 image where the sixth ... generate an edge adaptive predictor for the LS However, all the reported works about adaptive LS or QLS have only considered monocomponent images In the case of multicomponent images, it is often ... considering an a priori autocovariance model of the input image [17] More recently, adaptive QLS have been built without requiring any prior statistical model [8] and, in [18], a 2D orientation...
- 10
- 204
- 0
Báo cáo hóa học: " Piecewise Linear Model-Based Image Enhancement Fabrizio Russo" pdf
... APPLICATION TO COLOR IMAGES When the amount of noise corruption is limited, the application of our method to noisy color images is straightforward Piecewise Linear Model- Based Image Enhancement ... Details of (a) a synthetic image, (b) image corrupted by Gaussian noise with variance 50, (c) enhanced image (ksm = 10, ksh = 5, no additional processing), (d) enhanced image (ksm = 20, ksh = 5, ... development of an adaptive processing approach, where different parameter values are used for different pixels depending on local features An adaptive method based on the edge gradient of the image could...
- 9
- 177
- 0
Báo cáo khoa học: " Evalution of surface-based deformable image registration for adaptive radiotherapy of non-small cell lung cancer (NSCLC)" pptx
... Evaluation of Deformable Image Registration Visual evaluation of planning CT images (CTplan), followup CT images (CTFU) and follow-up CT images deformed to the planning CT image (CTdeform) was performed ... individual voxel -based analysis of deformable image registration based on ROIlimited (covering the GTV plus 10 mm in all Figure directions) Patient individual voxel -based analysis of deformable image registration ... uncer- Follow-up image Deformed follow-up image Figure pattern the mesh points onof infiltrativeof points on the right distortion of the pulmonary left image) with mesh image based on of consequences...
- 13
- 255
- 0
Sparse coding based image restoration and recognition algorithms and analysis
... image restoration and recognition have become more and more important in image processing, visual tracking, object recognition, etc Usually, image restoration aims at recovering a corrupted image ... learning for image recognition Different from image restoration problems, Introduction image recognition aims at identifying images of different categories See some exemplar face images in figure ... contributions to sparse coding based image restoration and recognition problems Firstly, we systemically investigated `0 norm based dictionary learning problems for image restoration and recognition...
- 144
- 377
- 0
Medical image analysis using statistical shape model based on subdivision surface wavelet
... matching a model to an image data can be solved in a lower dimensional space Next, several existing parametric shape models will be reviewed 14 2.3 PARAMETRIC MODELS 2.3.1 ASM (Active Shape Model) ... later model- image fitting process Hence, a wavelet shape model in 3D for model- guided segmentation and statistical shape analysis will be highly desirable However, to extend the existing wavelet model ... Wavelets Model (SSWM) In this chapter, we introduce a novel statistical shape model The Statistical Surface Wavelet Model (SSWM) The main purpose of this model is to extend the wavelet -based statistical...
- 122
- 362
- 0
dvanced robot control algorithms based on model based nonlinear velocity observers and adaptive friction compensation
... structure model- based observers for the design of adaptive [6] and robust [7] controllers Erlic et al designed reduced-order observers for use in an exact knowledge -based controller [8] and an adaptive ... Chapter 4, an observer-controller with adaptive friction compensation capability is introduced in Chapter The adaptive observer-controller consists of a model- based velocity observer, a controller ... 5.1 58 Adaptive friction identification and compensation - Maximum tracking errors with adaptive friction compensation 5.2 58 80 Adaptive friction identification...
- 179
- 348
- 0
LAKE EUTROPHICATION MODEL BASED ON THE IMPACT OF THE ZOOPLANKTON COMMUNITY ON PHYTOPLANKTON SUCCESSION
... ecological model is one of the most powerful tools to predict the long-term effects of biomanipulation Studies have tried to predict the effects of biomanipulation on the basis of lake ecological model ... these models, especially for the dynamics of zooplankton and fish, were estimated on the basis of a limited amount of data The problem that we have to consider next is to estimate these model ... of the model Arrows with solid line mean the flow of carbon, nitrogen and phosphorus Material or organism which was depicted in square with solid line means the state variable in the model And...
- 8
- 524
- 0
Image Restoration
... Engineering Image Restoration -4- Digital Image Processing Department of Biomedical Engineering Image Restoration -5- Digital Image Processing Department of Biomedical Engineering Image Restoration ... Engineering Image Restoration -9- Digital Image Processing Department of Biomedical Engineering Image Restoration -10- Digital Image Processing Department of Biomedical Engineering Image Restoration ... Engineering Image Restoration -14- Digital Image Processing Department of Biomedical Engineering Image Restoration -15- Digital Image Processing Department of Biomedical Engineering Image Restoration...
- 30
- 364
- 0
Tài liệu 34 Iterative Image Restoration Algorithms pdf
... regularized image restoration, J Vis Commun Image Rep., special issue on Image Restoration, vol 3, no 6, pp 446-455, Dec., 1992 [30] Katsaggelos, A.K and Kang, M.G., A spatially adaptive iterative ... noise variance in image restoration and their relation, IEEE Trans Image Process., 1: 322-336, July, 1992 [14] Huang, T.S., Barker, D.A., and Berger, S.P., Iterative image restoration, Appl Opt., ... iterative image restoration, Proc 1985 Int Conf Acoust Speech Signal Process., pp 696-699, Tampa, FL, March, 1985 [23] Katsaggelos, A.K., A general formulation of adaptive iterative image restoration...
- 20
- 269
- 0
06 ON TAYLOR MODEL BASED INTEGRATION OF ODES
... [−1, 1] A Taylor model vector is a vector with Taylor model components When no ambiguity arises, we call a Taylor model vector simply a Taylor model Arithmetic operations for Taylor model vectors ... Taylor models differ slightly from the Taylor models defined in these references The difference only affects the function set that is defined by a Taylor model In computations that involve a Taylor model ... Taylor model method is described in Section 4, which is followed by a discussion of Taylor model methods for linear ODEs A nonlinear model problem is used to explain preconditioned Taylor model...
- 21
- 301
- 0
10 on taylor model based integration of ODEs neuer 2006
... On Taylor Model Based Integration of ODEs Interval Arithmetic and Taylor Models Verified Integration of ODEs Taylor Model Methods for ODEs Verified Integration of Linear ODEs Quadratic Model Problem ... On Taylor Model Based Integration of ODEs Interval Arithmetic and Taylor Models Verified Integration of ODEs Taylor Model Methods for ODEs Verified Integration of Linear ODEs Quadratic Model Problem ... On Taylor Model Based Integration of ODEs Interval Arithmetic and Taylor Models Verified Integration of ODEs Taylor Model Methods for ODEs Verified Integration of Linear ODEs Quadratic Model Problem...
- 47
- 232
- 0
Tài liệu Model-based Visual Tracking: The OpenTL Framework pdf
... ii 1/26/2011 3:05:13 PM MODEL- BASED VISUAL TRACKING www.it-ebooks.info ffirs01.indd i 1/26/2011 3:05:13 PM www.it-ebooks.info ffirs01.indd ii 1/26/2011 3:05:13 PM MODEL- BASED VISUAL TRACKING The ... Internal Camera Model / 13 2.1.2 Nonlinear Distortion / 16 2.1.3 External Camera Parameters / 17 2.1.4 Uncalibrated Models / 18 2.1.5 Camera Calibration / 20 Object Model / 26 2.2.1 Shape Model and ... given by local keypoints Features detection Back-projection Input image s t− s t− Rendered model Prediction Sampling model features Image features Pre-processing Back-projection Re-projection s t−...
- 320
- 960
- 0
Tài liệu MODEL-BASED VISUAL TRACKING doc
... ii 1/26/2011 3:05:13 PM MODEL- BASED VISUAL TRACKING www.it-ebooks.info ffirs01.indd i 1/26/2011 3:05:13 PM www.it-ebooks.info ffirs01.indd ii 1/26/2011 3:05:13 PM MODEL- BASED VISUAL TRACKING The ... Internal Camera Model / 13 2.1.2 Nonlinear Distortion / 16 2.1.3 External Camera Parameters / 17 2.1.4 Uncalibrated Models / 18 2.1.5 Camera Calibration / 20 Object Model / 26 2.2.1 Shape Model and ... given by local keypoints Features detection Back-projection Input image s t− s t− Rendered model Prediction Sampling model features Image features Pre-processing Back-projection Re-projection s t−...
- 320
- 2,292
- 0
Báo cáo khoa học: "Language Model Based Arabic Word Segmentation" pdf
... histories of the current morpheme in the trigram language model The trigram model is smoothed using deleted interpolation with the bigram and unigram models, (Jelinek 1997), as in (1): و# آﺎن اﻳﺮﻓﺎﻳﻦ ... language model score of each segmentation For some segmentations of a token, the stem may be an out of vocabulary item In that case, we use an “UNKNOWN” class in the trigram language model with the model ... implementation involves (i) language model training on a morphemesegmented corpus, (ii) segmentation of input text into a sequence of morphemes using the language model parameters, and (iii) unsupervised...
- 8
- 189
- 0
Báo cáo khoa học: "Automatic Acquisition of Language Model based on Head-Dependent Relation between Words" pdf
... I model) (TRI model) (DEP model) ,r, fuJ 200 400 600 800 1000 1200 1400 600 No of training sentences P F Brown, V J Della Pietra, P V deSouza, J C Lai, and R L Mercer 1992 "ClassBased n-gram Models ... Preliminary experiments We have experimented with three language models, tri-gram model (TRI), bi-gram model (BI), and the proposed model (DEP) on a raw corpus extracted from KAIST corpus The raw ... we used for Ks We take the performance of a language model to be its cross-entropy on test corpus, u~ 2.8 2.6 2.4 2.2 ~ a (DEP model) o (TRI model) i 1.8 1.6 1.4 200 400 600 800 1000 1200 1400...
- 5
- 334
- 0
Báo cáo khoa học: "A Hierarchical Bayesian Language Model based on Pitman-Yor Processes" docx
... ) Hierarchical Pitman-Yor Language Models We describe an n-gram language model based on a hierarchical extension of the Pitman-Yor process An n-gram language model defines probabilities over the ... examples of nonparametric Bayesian models Here we give a quick description of the Pitman-Yor process in the context of a unigram language model; good tutorials on such models are provided in (Ghahramani, ... proposing a langauge model with excellent performance and the accompanying advantages of Bayesian probabilistic models, in proposing a novel and efficient inference scheme for the model, and in establishing...
- 8
- 386
- 0
Tìm thêm: hệ việt nam nhật bản và sức hấp dẫn của tiếng nhật tại việt nam khảo sát các chuẩn giảng dạy tiếng nhật từ góc độ lí thuyết và thực tiễn khảo sát chương trình đào tạo của các đơn vị đào tạo tại nhật bản khảo sát chương trình đào tạo gắn với các giáo trình cụ thể xác định thời lượng học về mặt lí thuyết và thực tế tiến hành xây dựng chương trình đào tạo dành cho đối tượng không chuyên ngữ tại việt nam điều tra với đối tượng sinh viên học tiếng nhật không chuyên ngữ1 khảo sát thực tế giảng dạy tiếng nhật không chuyên ngữ tại việt nam khảo sát các chương trình đào tạo theo những bộ giáo trình tiêu biểu nội dung cụ thể cho từng kĩ năng ở từng cấp độ xác định mức độ đáp ứng về văn hoá và chuyên môn trong ct phát huy những thành tựu công nghệ mới nhất được áp dụng vào công tác dạy và học ngoại ngữ mở máy động cơ lồng sóc mở máy động cơ rôto dây quấn các đặc tính của động cơ điện không đồng bộ đặc tuyến hiệu suất h fi p2 đặc tuyến tốc độ rôto n fi p2 động cơ điện không đồng bộ một pha thông tin liên lạc và các dịch vụ từ bảng 3 1 ta thấy ngoài hai thành phần chủ yếu và chiếm tỷ lệ cao nhất là tinh bột và cacbonhydrat trong hạt gạo tẻ còn chứa đường cellulose hemicellulose