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 9 of 9 for “"Image completion"”.
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Image Completion: Comparison of Different Methods and Combination of Techniques
Image completion is the process of filling missing regions of an image based on the known sections of the image. This technique is useful for repairing damaged images or removing unwanted objects from images. Research on this technique is plentiful. This thesis compares three different approaches …
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Structure guided image restoration : a deep learning approach
Image restoration aims at recovery of degraded images and estimating the original. Over the past few years, computer vision research has been dominated by deep learning techniques in part due to advances in computing infrastructure, algorithms and image capturing devices. As a result, deep neural …
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Explainable AI in Medical Imaging: An Interdisciplinary Translational Approach
<p>Advances in computer vision and image processing have made a clear impact on many fields, from healthcare diagnostics to autonomous driving. However, as these models become more complex, understanding their decision-making processes has grown increasingly challenging, making explainable AI (XAI) …
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Fast Algorithms For Fragment Based Completion In Images Of Natural Scenes
… visual details and produce realistic looking images. Often it is necessary to remove some foreground object from the scene. Removal of the portion creates one or more holes in the texture image. These holes need to be filled to complete the image. Various methods like clone brush strokes and …
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Combining Masked Autoencoding and Neural Fields for Multi-band Satellite Understanding
… heterogeneous remote sensing data by solving an image completion task. We equip our model with temporal, spectral, and global positioning information in addition to local positional encoding. This allows our algorithm to learn a unified, high-resolution, and time-varying representation across the …
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Enabling and directing real-time cognitive radar transmitter optimization.
… extrapolation method using deep learning image completion techniques. Additionally, the accelerated optimization technique has been adapted for use with the pulse-to-pulse waveform agility paradigm of cognitive radars. Finally, the impact on Doppler detection accuracy of modifying the …
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An Empirical Study on Sum-Product Networks Structure Learning and Deep Convolutional Sum-Product Networks
… and shown to yield competitive results in image completion tasks. A DCSPN consists of a tree structure (a directed acyclic graph) coupled with parameters of the structure. Given that DCSPNs are in their infancy, many open questions remain regarding the properties and topology of their tree …
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Graphical Methods for Image Compositing and Completion
… thesis is concerned with problems encountered in image-based rendering (IBR) systems. The significance of such systems is increasing as virtual reality as well as augmented reality are finding their way into many applications, from entertainment to military. Particularly, I propose methods that …
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Visual analysis and synthesis with physically grounded constraints
… past decade has witnessed remarkable progress in image-based, data-driven vision and graphics. However, existing approaches often treat the images as pure 2D signals and not as a 2D projection of the physical 3D world. As a result, a lot of training examples are required to cover sufficiently …