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Published in 2019 at "Medical physics"
DOI: 10.1002/mp.13776
Abstract: PURPOSE Respiratory motion correction is necessary for the quantitative analysis of liver contrast-enhanced ultrasound (CEUS) image sequences. Most respiratory motion correction methods are based on the dual mode of CEUS image sequences, including contrast and…
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Keywords:
motion;
image;
correction;
image sequences ... See more keywords
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Published in 2018 at "Signal, Image and Video Processing"
DOI: 10.1007/s11760-017-1215-3
Abstract: In image and video denoising, a quantitative measure of genuine image content, noise, and blur is required to facilitate quality assessment, when the ground truth is not available. In this paper, we present a no-reference…
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Keywords:
quality;
image;
quality assessment;
reference image ... See more keywords
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2
Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3263496
Abstract: Efficiency and efficacy are desirable properties for any evaluation metric having to do with Standard Dynamic Range (SDR) imaging or with High Dynamic Range (HDR) imaging. However, it is a daunting task to satisfy both…
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Keywords:
reference image;
image quality;
reference;
time reference ... See more keywords
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Published in 2024 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2024.3398536
Abstract: Image inpainting has achieved remarkable advancement in improving image quality via reconstructing the corrupted area with perceptual rationality. However, when the key semantic features of the mask area are blurred, existing methods solely relying on…
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Keywords:
image;
reference image;
image inpainting;
auxiliary feature ... See more keywords
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Published in 2024 at "IEEE Transactions on Broadcasting"
DOI: 10.1109/tbc.2023.3308349
Abstract: In this paper, a full-reference image quality assessment (FR-IQA) model based on deep meta-learning and Conformer is proposed. We combine the Conformer architecture with a Siamese network to extract the feature vectors of the reference…
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Keywords:
image;
full reference;
meta learning;
reference image ... See more keywords
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Published in 2022 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2021.3073410
Abstract: Recently, researchers have shown great interest in using convolutional neural networks (CNNs) for no-reference image quality assessment (NR-IQA). Due to the lack of big training data, the efforts of existing metrics in optimizing CNN-based NR-IQA…
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Keywords:
reference image;
meta learning;
image quality;
quality ... See more keywords
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Published in 2024 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2023.3338459
Abstract: Fashion image generation attracts increasing attentions with wide applications in fashion design, virtual try-on, cosmetic industry, etc. Editing clues such as segmentation masks, keypoints and sketches are usually taken to guide the desired transformation of…
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Keywords:
image;
editing clue;
fashion;
image generation ... See more keywords
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Published in 2024 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2024.3443414
Abstract: No-Reference Image Quality Assessment (NR-IQA), a subset of IQA techniques, is critical in scenarios where reference images are unavailable. With advancements in camera technology and computer vision, IQA datasets have evolved significantly in distortion types,…
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Keywords:
continual learning;
reference image;
learning;
domain ... See more keywords
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Published in 2017 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2017.2657582
Abstract: A new mixed radiometric normalization (MRN) method is introduced in this paper which aims to eliminate the radiometric difference in image mosaicking. The radiometric normalization methods can be classified as the absolute and relative approaches…
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Keywords:
method;
radiometric normalization;
reference image;
normalization ... See more keywords
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Published in 2021 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2020.3035448
Abstract: This article proposes a simple yet reliable no-reference image contrast evaluator (NICE) by generating bidirectional pseudoreferences (BPR). Different from the existing no-reference metrics that only operate on the contrast distorted image (CDI) itself, our proposed…
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Keywords:
image contrast;
reference;
generating bidirectional;
reference image ... See more keywords
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Published in 2022 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2022.3204213
Abstract: Composed image retrieval aims at retrieving the desired images, given a reference image and a text piece. To handle this task, two important subprocesses should be modeled reasonably. One is to erase irrelated details of…
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Keywords:
reference image;
image retrieval;
text piece;
composed image ... See more keywords