Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 36 for “"Patch-based"”.
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Patch Based Models for Image Enhancement
We wind up the work presented in this dissertation by presenting a subjective study of changes in human interpretation of visual stimuli as a function of image degradation. We stumble on the well known but less understood fact that enhancement does enhance human interpretation, though the …
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Patch-based Denoising Algorithms for Single and Multi-view Images
… segmentation, computing disparity maps, etc. Patch-based denoising methods have recently emerged as the state-of-the-art denoising approaches for various additive noise levels. This thesis proposes two patch-based denoising methods for single and multi-view images, respectively. A modification …
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A robust patch-based synthesis framework for combining inconsistent images
… with motions. In this thesis, we propose a patch-based synthesis algorithm to plausibly combine different images that have color, texture, structural, and geometric inconsistencies. For some applications such as cloning and stitching where a gradual blend is required, we present a new method …
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Designing a resource-allocating codebook for patch-based visual object recognition
… information extracted at several points or image patches from an image. Local information at specific points can deal with object shape variability and partial occlusions. The underlying idea is that, in different images, the statistical distribution of the patches is different, which can be …
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Layout-aware mixture models for patch-based image representation and analysis
… ways of modeling images is to break them into patches; the reason is that not only is the dimensionality reduced, but it is easier to define similarities between patches as they experience less distortion as compared with defining similarity between images. Patch-based image models are often …
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Vector Field Manipulations in Three-Dimensional Time-Varying Flow Data Compression and Image/video Editing
… texture. We introduce a new distortion to patch-based texture synthesis that aligns texture features with image features. A dense correspondence field between source and target images generated by the control curves then guides texture synthesis.
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Real-time Image Enhancement Using Texture Synthesis
… combines interpolation, classification, and patch-based texture synthesis to enhance low-resolution imagery, particularly aerial imagery. RETS uses as input a low-resolution source image and several high-resolution sample textures. The output of RETS is a high-resolution image with the …
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Hierarchical density estimation for image classification
… mixture models (GMMs) have been widely used in patch-based image classification problems. Despite the satisfactory results reported, both methods suffer from a number of disadvantages. For instance, a histogram may be easy to learn but has a large quantization error; on the contrary, Gaussian …
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Missing channel reconstruction for sloan digital sky survey images using linear models and generative adversarial networks
… for the linear model, linear regression and patch- based regression are examined. For the deep learning model, the generative adversarial networks (GANs) with U-Net are deployed in the experiment. Several preprocessing techniques including normalization and cropping are done before feeding …
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Trace-weighted binary comparison for software update management
… must decide when to accept updates. A software patch intended to fix one error may introduce a new problem in a more important part of the executable. This can be difficult to predict even when source code is available, which is often not the case. To help simplify this decision, we introduce a …
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Latent source models for nonparametric inference
… objects in images by looking at image patches. However, there is little theoretical understanding of when, why, and how well these nonparametric inference methods work in terms of key problem-specific quantities relevant to practitioners. This thesis bridges the gap between theory and …
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Advanced Statistical Modeling for Model-Based Iterative Reconstruction for Single-Energy and Dual-Energy X-Ray CT
Model-based iterative reconstruction (MBIR) has been increasingly broadly applied as an improvement over traditional, analytical image reconstruction methods in X-ray CT, primarily due to its significant advantage in drastic dose reduction without diagnostic loss. Early success of the method in …
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Diffusivity of drug actives in transdermal drug delivery (TDD)
Transdermal Drug Delivery (TDD) through skin patches has many advantages including the following: slow and continuous administration of the therapeutic over long periods of time, timely dosage, accessibility, kinetic maneuverability, elimination of the "First Pass Effect" and negative side effects …
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Robust learning and segmentation for secure understanding
… regularization technique is presented, based on enhancing data sets with corrupted copies of the examples to produce a more robust classifier. This regularization technique enables the gentle boosting algorithm to work well with only a few examples. It is tested on a variety of data sets …
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Digital Stack Photography and Its Applications
… exclusions. Next, we extend the pixel-based optical flow model</p><p>to a patch-based model. There are two-fold advantages. A patch has</p><p>texture and local content that individual pixels fail to present. It</p><p>also renders opportunities for faster processing, such as …
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Deep learning for digitized histology image analysis
… for pixel-wise segmentation of epithelium by patch-based image analysis; 4) attention-based CIN classification with localized sequential feature modeling. Deep learning-based nuclei detection by superpixels was performed as an extension of our research. Results from this research indicate an …
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Analysis of Colorectal Polyps in Optical Projection Tomography
… images. Specifically, we investigate 3-D texture-based recognition methods, as well as weakly supervised classification methods, for the diagnostic task of discriminating levels of dysplastic change.<br/><br/>Firstly, we build a patch-based recognition system and evaluate both multi-class …
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Improve OpenMVG and create a novel algorithm for novel view synthesis from point clouds
… and registered to point clouds. Furukawa's Patch-based Multi-view Stereo(PMVS) algorithm is used to reconstruct dense point clouds using calibrated cameras as inputs. With known depth values of 3D points in the dense point cloud, we estimate depth maps of source images using optimization …
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Fish passage design for Southern Hemisphere small-bodied fish: Hydrodynamic and behavioural assessment using spoiler baffles
… arrangements of spoiler baffle, known as a patch. A ventral view of fish movement while swimming upstream through these patches is then recorded using two synchronized cameras. A high-frequency flow measurement using an acoustic Doppler velocimeter (ADV) at grid spacing of 5 × 4 cm along the …
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Efficient Algorithms and Systems for Tiny Deep Learning
Tiny machine learning on IoT devices based on microcontroller units (MCUs) enables various real-world applications (e.g., keyword spotting, anomaly detection). However, deploying deep learning models to MCUs is challenging due to the limited memory size: the memory of microcontrollers is 2-3 orders …
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