Restoration of Image Sequences Degraded by Atmospheric Turbulence PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Restoration of Image Sequences Degraded by Atmospheric Turbulence PDF full book. Access full book title Restoration of Image Sequences Degraded by Atmospheric Turbulence by Ronen Gal. Download full books in PDF and EPUB format.
Author: Ronen Gal
Publisher:
ISBN:
Category :
Languages : en
Pages : 240
Get Book Here
Book Description
Author: Ronen Gal
Publisher:
ISBN:
Category :
Languages : en
Pages : 240
Get Book Here
Book Description
Author: Rishaad Abdoola
Publisher:
ISBN:
Category : Atmospheric turbulence
Languages : en
Pages : 266
Get Book Here
Book Description
Developes and compare algorithms to restore sequences degraded by the effects of atmospheric turbulence with the focus placed on the removal of heat scintillation.Results in the dissertation were obtained using datasets divided into two categories: real datasets and simulated datasets. The real datasets consist of sequences obtained in the presence of real atmospheric turbulence. These datasets were obtained from the CSIR (Council for Scientific and Industrial Research) using their Cyclone camera and vary in range from 5km-15km. The simulated sequences were generated using ground truth images/sequences. Both datasets can be further divided into sequences with real-motion and sequences without real motion.
Author:
Publisher:
ISBN:
Category : Electronic books
Languages : en
Pages : 52
Get Book Here
Book Description
This thesis proposes the fusion of multiple images, that have undergone image degradation due to atmospheric turbulence, in order to obtain a higher quality, single frame representation of the “true” image. While the correction of turbulence is nothing new, our focus is on utilizing the divergence of velocity flows to select the high quality regions to later be fused—a method with little current literature/research. This fusion process consists of two steps. The first is the non-rigid registration of the input image sequence to reduce any geometric distortions due to atmospheric turbulence. This is achieved through the use of optical flow methods, which give velocity flows at each registered location. The second step is the selection of high quality regions when fusing the images to obtain a sharper output image. We assume the sharp regions can be located by utilizing the divergence of the velocity flows that were recovered in step one. Throughout the explanation of this method we also assess optical flow and its importance not only in image registration, but also in the selection of fused regions. Primal-dual methods are also explained, since those are vital to solve the image fusion model.
Author: Marcello Pelillo
Publisher: Springer
ISBN: 3319781995
Category : Computers
Languages : en
Pages : 583
Get Book Here
Book Description
This volume constitutes the refereed proceedings of the 11th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition, EMMCVPR 2017, held in Venice, Italy, in October/November 2017. The 37 revised full papers were carefully reviewed and selected from 51 submissions. The papers are organized in topical sections on Clustering and Quantum Methods; Motion and Tracking; Image Processing and Segmentation; Color, Shading and Reflectance of Light; Propagation and Time-evolution; and Inference, Labeling, and Relaxation.
Author: Aurélio Campilho
Publisher: Springer
ISBN: 3319415018
Category : Computers
Languages : en
Pages : 810
Get Book Here
Book Description
This book constitutes the thoroughly refereed proceedings of the 13th International Conference on Image Analysis and Recognition, ICIAR 2016, held in Póvoa de Varzim, Portugal, in July 2016. The 79 revised full papers and 10 short papers presented were carefully reviewed and selected from 167 submissions. The papers are organized in the following topical sections: Advances in Data Analytics and Pattern Recognition with Applications, Image Enhancement and Restoration, Image Quality Assessment, Image Segmentation, Pattern Analysis and Recognition, Feature Extraction, Detection and Recognition, Matching, Motion and Tracking, 3D Computer Vision, RGB-D Camera Applications, Visual Perception in Robotics, Biometrics, Biomedical Imaging, Brain Imaging, Cardiovascular Image Analysis, Image Analysis in Ophthalmology, Document Analysis, Applications, and Obituaries. The chapter 'Morphological Separation of Clustered Nuclei in Histological Images' is published open access under a CC BY 4.0 license at link.springer.com.
Author: Benjamin J. Sanda
Publisher:
ISBN:
Category : Atmospheric turbulence
Languages : en
Pages : 119
Get Book Here
Book Description
The removal of atmospheric turbulence (AT) distortion in long range imaging is one of the most challenging areas of research in imaging processing with an immediate need for solutions in several applications such as in military and transportation systems. AT exacerbates distortion due to non-linear geometric blur and scintillations in long-distance images and videos, severely reducing image quality and information interpretation. AT negatively impacts both human and computer vision systems, compromising visibility essential for accurate object identification and tracking. In this dissertation, a novel sparse analysis framework is developed to address efficient AT blur and scintillation removal in video. Operating under the premise that distortion-free images should be sparse in a transform domain, the application of the dual-tree complex wavelet transform is utilized on frame bursts, allowing for a new near shift-invariant complex transform space that results in higher sparsity, higher object tracking accuracy, and better resilience against camera shake, geometric distortion, and imperfect frame registration encountered in real-world AT-distorted sequences. Using this new complex transform space the novel Frame-Burst Coefficient Shimmer Thresholding (FBST) algorithm is developed. FBST considers the complex coefficient shimmer across multiple frames to address threshold selection and moving object blur, issues still present in other methods which utilize techniques such as averaging and empirical threshold selection. In fact, by evaluating video sequences of moving vehicles with visible license plates, we show FBST produces up to an 85% sparse reconstruction with superior visual results compared to weighted and simple thresholding approaches while preserving object motion, reducing AT distortion, and enhancing object contrast and visibility. Moreover, compressed sensing (CS) methods to sparse AT distortion removal are also investigated through direct CS sampling of the coefficients of the complex wavelet transform, allowing us to sparsely sample and reconstruct a restored output image. This essentially develops a means to sample in real-time, store the reduced size dataset, and reconstruct a de-blurred output in the cloud for low-power portable systems. Results using AT-distorted traffic sequences indicate that CS provides up to a 75% sparse reconstruction, contrast enhancement, and de-blurring, while using only one-fifth the number of coefficients for sampling. Overall, this dissertation presents a sparse analysis framework that is well suited to provide robust AT distortion removal that does not blur moving objects and provides a highly sparse representation with reduced storage requirements for distributed-processing and low-power monitoring systems.
Author: Joan Martí
Publisher: Springer
ISBN: 354072849X
Category : Computers
Languages : en
Pages : 674
Get Book Here
Book Description
Part of a two-volume set, this book constitutes the refereed proceedings of the Third Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2007, held in Girona, Spain in June 2007. It covers pattern recognition, human language technology, special architectures and industrial applications, motion analysis, image analysis, biomedical applications, shape and texture analysis, 3D, and image coding and processing.
Author: George Azzopardi
Publisher: Springer
ISBN: 3319231170
Category : Computers
Languages : en
Pages : 821
Get Book Here
Book Description
The two volume set LNCS 9256 and 9257 constitutes the refereed proceedings of the 16th International Conference on Computer Analysis of Images and Patterns, CAIP 2015, held in Valletta, Malta, in September 2015. The 138 papers presented were carefully reviewed and selected from numerous submissions. CAIP 2015 is the sixteenth in the CAIP series of biennial international conferences devoted to all aspects of computer vision, image analysis and processing, pattern recognition, and related fields.
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 32
Get Book Here
Book Description
Author:
Publisher:
ISBN:
Category : Optical data processing
Languages : en
Pages : 212
Get Book Here
Book Description
