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 19 of 19 for “"Image Quality Assessment"”.
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Anthropomorphic Model for Medical Image Quality Assessment
… dissertation explores advancements in task-based image quality assessment through the development and evaluation of an anthropomorphic visual search model observer. The model incorporates a novel threshold mechanism inspired by human visual system principles, particularly emphasizing the selective …
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Deep learning-enabled objective image quality assessment in medical imaging
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-03-28 without embargo terms
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Active sampling, scaling and dataset merging for large-scale image quality assessment
The field of subjective assessment is concerned with eliciting human judgements about a set of stimuli. Collecting such data is costly and time-consuming, especially when the subjective study is to be conducted in a controlled environment and using a specialized equipment. Thus, data from these …
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The impact of viewing conditions on image quality assessment tasks in mammographic quality control
… demanding x-ray examination requiring optimal image quality to enable the early detection of breast cancer. Quality control (QC) processes ensure that the equipment in the diagnostic imaging process is functioning and maintained at the highest level. High image quality is fundamental to the …
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Optimisation of radiation dose and image quality for AP pelvis radiographic examination
… and rationale:Optimising radiation dose and image quality in medical imaging is essential in minimising radiation risk and ensuring images are fit for purpose. This thesis uses novel methods for image quality assessment and radiation dose/image quality optimisation. The antero-posterior (AP) …
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Advanced modelling and analysis for quality assessment and enhancement of underwater multimodal imageries.
… conditions and turbidity further degrade image quality, limiting the acquisition of high-quality data. To address these challenges, multimodal sensing, which integrates optical and acoustic imaging, has been widely adopted. Despite its advantages, modality-specific degradations persist, …
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Online, low-latency decision making for Fetal Magnetic Resonance Imaging with machine learning
… in diagnosing brain abnormality. However, the quality of HASTE images routinely suffer from fetal motion which leads to image artifacts, incomplete brain coverage as well as longer scan times. To address this problem, interleaved 3D Echo-planar Imaging (EPI) navigators are acquired along with …
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A quantitative analysis and assessment of the performance of image quality metrics
Image quality assessment addresses the distortion levels and the perceptual quality of a restored or corrupted image. A plethora of metrics has been developed to that end. The usual mean of success of an image quality metric is their ability to agree with the opinions of human subjects, often …
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Adaptive multiscale biological signal processing
… of diagnostic techniques based on signal and image acquisition from the human body is commonly retained as one of the propelling factors in the advancements in medicine and biosciences recorded in the recent past. It is a fact that the instruments used for biological signal and image …
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Integrated Smartphone-Based Computer Vision and Machine Learning Platform for Identification of Surgical Site Infections
… to help detect SSI using a smartphone camera image. This mobile application includes four main components: (1) a computer vision image capture algorithm with automated image scaling, cropping and rotation; (2) automated image quality assessment to provide real-time feedback to the CHW; (3) an …
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A computational model of visual attention.
… regions is proposed. To develop the model, an image dataset is created by capturing images with in-focus and out-of-focus regions. The Discrete Cosine Transform (DCT) spectrum of these images is investigated qualitatively and quantitatively to discover the key frequency coefficients that …
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Convolutional Neural Networks for Robust Fynbos Leaf Classification: Enabling Trustworthy Machine Learning in Botanical Science
… Network trained on a dataset of collected leaf images, to correctly classify species of Fynbos using natural images as training data. The thesis intends to combat many of the pitfalls of using CNN technology such as working with small datasets and provides a novel approach for dealing with image …
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System Design And Optimization Of Optical Coherence Tomography
… biomedical diagnosis, is the quantification of image quality and optimization of the system components, both a primary focus of this research. We concentrated our efforts on the optimization of the imaging system from two main standpoints: axial point spread function (PSF) and practical steps …
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Learning Based Objective QoE Models Across Interactive and Immersive Media
Delivering high-quality multimedia experiences at scale requires objective Quality of Experience (QoE) models that reliably approximate human perception across heterogeneous contents, devices, and network conditions. Subjective user studies remain the reference standard for assessing perceived …
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Facial image restoration and retrieval through orthogonality
… how to incorporate orthogonality to facial image restoration and retrieval tasks. A facial image restoration method and three retrieval methods were proposed. Blur in facial images significantly impedes the efficiency of recognition approaches. However, most existing blind deconvolution …
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Objective Assessment Methods for List Mode Imaging System
… has been advocated that to properly quantify the imagequality of a medical imaging system, both the task and observer have to be well defined. The objective quality of the image depends on how well the specified observer can extract the desired information to perform the task. Classification or …
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Autonomous Vehicle Perception Quality Assessment
… (AVs) has necessitated the need for high-quality perception systems. Perception is a fundamental requirement for AVs, with cameras and LiDARs being commonly used sensors for environmental understanding and localization. However, there is a research gap in assessing the quality of AVs …
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Qualitative Evaluation of Data Compression in Real-time Ultrasound Imaging
… indicate that compressed real-time ultrasound imagery using H.261 can be transmitted over a T1 or ADSL networks.</p>