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.
Results
Showing 1 to 20 of 29 for “"motion blur"”.
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Motion blur removal from photographs
… the long-standing challenges in photography is motion blur. Blur artifacts are generated from relative motion between a camera and a scene during exposure. While blur can be reduced by using a shorter exposure, this comes at an unavoidable trade-off with increased noise. Therefore, it is …
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Characterizing the perceived quality degradation of still-camera motion blur
Camera motion blur was examined in two experiments, in an attempt to behaviorally validate candidate predictors of the associated degradation in photographic image quality. In the first experiment, motion of a hand-held 35-mm single-lens-reflex camera was measured using inertial sensors while film …
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The impact of simulated motion blur on breast cancer detection performance in full field digital mammography (FFDM)
… to the accuracy of this process. Unwanted motion during the image acquisition phase and subsequent image blurring is an unfortunate occurrence in some FFDM images. The research detailed in this thesis seeks to understand the impact of motion blur on cancer detection performance in FFDM …
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Reactive Motions In A Fully Autonomous CRS Catalyst 5 Robotic Arm Based On RGBD Data
… a method to perform velocity estimation using motion blur in a single image frame along x and y axes in the camera coordinate system and intercept a moving object with a robotic arm. It will be shown that velocity estimation in a single image frame improves the system's performance. The …
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Spatial Resolution of Equatorial Plasma Depletions Using Variable-Range Time-Delay Integration
… integration techniques that correct for uniform motion blur during integration. This was due to the assumed constant range-to-target of each pixel in the observed scene. ICON's low orbital altitude and twelve second integration time create non-uniform motion blur across the observed scene and …
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Assessment of New Innovations In Pet/Ct For Respiratory Motion Correction
… due to the long acquisition times, respiratory motion blur is unavoidable in PET images especially in the lower lung and upper abdomen. This leads to reductions in measured radiotracer concentration and lesion detectability all of which can potentially result in incorrect management of patients. …
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Burst Imaging with Learned Continuous Kernels
… can increase resolution, attenuate noise, reduce motion blur and expand the dynamic range to obtain a higher quality image. In this thesis, we propose a method that learns continuous kernels to process and merge burst frames. We show that the learned kernels adapt to local image information and …
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Perception and Control Methods for Improving the Autonomy of Off-Road Robots
… in low-light settings where underexposure, motion blur, or image noise can degrade VO performance depending on the exposure parameters selected by the camera. This thesis contributes VO-AutoExpose, an auto-exposure algorithm that, unlike existing ones, predicts exposure parameters maximizing …
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Frequency Analysis and Sheared Filtering for Multidimensional Effects in Rendering
… thesis first analyzes the underlying signals for motion blur and occlusion and identifies the sparse structure of these signals in the Fourier domain. We then leverage this information to design a sheared filter that is customized to each pixel's frequency content. We finally present practical …
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The lightspeed automatic interactive lighting preview system
… a deep-framebuffer to handle antialiasing, motion blur and transparency efficiently. Progressive refinement enables fast feedback at coarser resolution. We demonstrate our approach in real-world production.
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Improved 2D Camera-Based Multi-Object Tracking for Autonomous Vehicles
… like cameras are not static, which can cause motion blur in the frames and make tracking inefficient. 2) Traditional methods for motion compensation, such as those used in Kalman Filter-based Multi-Object Tracking, require extensive parameter tuning to match features between consecutive frames …
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Afterimage Toon Blur : procedural generation of cartoon blur for 3D models in real time
… animation techniques is the emphasis placed on motion. Objects in motion often make use of visual stylistic effects to visually enhance the motion, such as speed lines or afterimages. Unfortunately, at present, 2D animation makes much more use of these techniques than 3D animation, which is …
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Analysis of Fabry-Pérot laser resonators stabilized by microlenses and applications in speckle-free imaging
… with high resolution and without speckle or motion blur, an otherwise challenging task because their wings can beat at frequencies up to 200 Hz.
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Optical flow using phase information for deblurring
This thesis presents a method for reconstructing motion-degraded images by using velocity information generated with a phase-based optical flow calculation. The optical flow method applies a set of frequency-tuned Gabor filters to an image sequence in order to determine the component velocities for …
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Techniques for Ocular Biometric Recognition Under Non-ideal Conditions
… (e.g., non-uniform illumination, occlusions, motion blur, image resolution, etc.). This dissertation develops techniques to perform iris and ocular recognition under challenging conditions. The first contribution is an image-level fusion scheme to improve iris recognition performance in …
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LLM-as-Judge for Reliable Crack Segmentation in Edge-Based Structural Inspection
… conditions such as illumination variation, motion blur, low resolution, and occlusions can severely degrade segmentation performance. Moreover, the absence of ground-truth annotations during deployment makes conventional evaluation metrics, such as Intersection-over-Union and Dice score, …
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Tracking and Measuring Objects in Obscure Image Scenarios Through the Lens of Shot Put in Track and Field
… obscured due to a number of factors including motion blur, far distance from the camera, and blending with the background. Additionally, most established object detection models focus on detecting as many objects as possible, rather than striving for high accuracy on a few, predetermined …
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Design of x-ray source for real-time computed tomography
<p>"The reduction of motion blur in computed tomography (CT) drives the current research for multisource CT. Due to their compact nature, the current multisource systems utilize stationary angled anodes. Unfortunately, these configurations neither simplify the imaging geometry, nor satisfy the need …
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On Robotic Work-Space Sensing and Control
… is robust to varying illumination conditions and motion blur. Furthermore, a method for object tracking is presented along with a novel way of Kalman-filter initialization that can handle initial-state estimates with infinite variance. A second application class treated is robotic assembly using …
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Seeing through Space and Time: Asynchronous Event Processing for Robots
… High Dynamic Range (HDR) imaging, less motion blur, real-time response without frame rate limitations and low power consumption. Despite their widespread use in autonomy applications, current approaches to processing event data often involve accumulating events over short temporal …
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