Respiratory motion correction for liver contrast-enhanced ultrasound by automatic selection of a reference image.
Sign Up to like & getrecommendations! 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… read more here.
Keywords: motion; image; correction; image sequences ... See more keywords
Sparsity-based no-reference image quality assessment for automatic denoising
Sign Up to like & getrecommendations! 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… read more here.
Keywords: quality; image; quality assessment; reference image ... See more keywords
NoR-VDPNet++: Real-Time No-Reference Image Quality Metrics
Sign Up to like & getrecommendations! 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… read more here.
Keywords: reference image; image quality; reference; time reference ... See more keywords
Generalizable No-Reference Image Quality Assessment via Deep Meta-Learning
Sign Up to like & getrecommendations! 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… read more here.
Keywords: reference image; meta learning; image quality; quality ... See more keywords
A Mixed Radiometric Normalization Method for Mosaicking of High-Resolution Satellite Imagery
Sign Up to like & getrecommendations! 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… read more here.
Keywords: method; radiometric normalization; reference image; normalization ... See more keywords
No-Reference Image Contrast Evaluation by Generating Bidirectional Pseudoreferences
Sign Up to like & getrecommendations! 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… read more here.
Keywords: image contrast; reference; generating bidirectional; reference image ... See more keywords
Composed Image Retrieval via Explicit Erasure and Replenishment With Semantic Alignment
Sign Up to like & getrecommendations! 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… read more here.
Keywords: reference image; image retrieval; text piece; composed image ... See more keywords
Full-Reference Image Quality Expression via Genetic Programming
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2023.3244662
Abstract: Full-reference image quality measures are a fundamental tool to approximate the human visual system in various applications for digital data management: from retrieval to compression to detection of unauthorized uses. Inspired by both the effectiveness… read more here.
Keywords: reference image; image quality; genetic programming; full reference ... See more keywords
Sufficient Image Appearance Transfer Combining Color and Texture
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Multimedia"
DOI: 10.1109/tmm.2016.2631123
Abstract: Traditional color transfer methods can achieve satisfactory results for transferring the color style from a reference image to a source image, provided that the source image shares the similar color mood with the reference image.… read more here.
Keywords: color; image; source image; appearance ... See more keywords
A Novel Rank Learning Based No-Reference Image Quality Assessment Method
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Multimedia"
DOI: 10.1109/tmm.2021.3114551
Abstract: Recently, applying deep learning to no-reference image quality assessment (NR-IQA) has received significant attention. Especially in the last five years, an increasing interest has been drawn to the studies of rank learning since it can… read more here.
Keywords: reference image; quality; method; rank learning ... See more keywords
Ref‐ZSSR: Zero‐Shot Single Image Superresolution with Reference Image
Sign Up to like & getrecommendations! Published in 2022 at "Computer Graphics Forum"
DOI: 10.1111/cgf.14679
Abstract: Single image superresolution (SISR) has achieved substantial progress based on deep learning. Many SISR methods acquire pairs of low‐resolution (LR) images from their corresponding high‐resolution (HR) counterparts. Being unsupervised, this kind of method also demands… read more here.
Keywords: reference image; reference; single image; image superresolution ... See more keywords