Results 11 to 20 of about 90 (86)
Multiscale and multidirection depth map super resolution with semantic inference
IET Image Processing, Volume 17, Issue 13, Page 3670-3687, 13 November 2023., 2023 A novel multiscale and multidirection depth map super resolution framework with semantic inference is proposed to improve the quality of depth maps. In this framework, a multiscale and multidirection depth map contour fusion scheme captures and assembles intrinsic geometrical structures through a multiview non‐subsampled contourlet transform manner ...
Dan Xu +3 more
wiley +1 more source
CEFusion: Multi‐Modal medical image fusion via cross encoder
IET Image Processing, Volume 16, Issue 12, Page 3177-3189, 16 October 2022., 2022 Abstract Most existing deep learning‐based multi‐modal medical image fusion (MMIF) methods utilize single‐branch feature extraction strategies to achieve good fusion performance. However, for MMIF tasks, it is thought that this structure cuts off the internal connections between source images, resulting in information redundancy and degradation of ...
Ya Zhu +3 more
wiley +1 more source
Goal oriented image quality assessment
IET Image Processing, Volume 16, Issue 4, Page 1054-1066, March 2022., 2022 Abstract The area of image quality assessment(IQA) is an active research area in image processing and computer vision. All IQA algorithms reported in literature are attempting to quantify only the visual quality of the images/videos. An interesting question to be answered is that given a goal (task) and an image (with good visual quality), is the image
Kiruthika S., Masilamani V.
wiley +1 more source
IET Image Processing, 2021 Aiming at the problems of low contrast and blurred edge textures in medical image fusion, a new fusion scheme in non‐subsampled contourlet transform (NSCT) domain is proposed to improve the quality of fused brain images which is based on pulse‐coupled ...
Yu Miao, Ning Chunyu, Xue Yazhuo
doaj +1 more source
Two‐stage progressive residual learning network for multi‐focus image fusion
IET Image Processing, Volume 16, Issue 3, Page 772-786, February 2022., 2022 Abstract Boundary artifacts and color detail distortion are easily caused by the common multi‐focus image fusion methods. In order to solve this problem, we propose a two‐stage progressive residual learning network for multi‐focus image fusion. The proposed network can progressively learn color information and detail features through end‐to‐end mapping.
Haoran Wang, Zhen Hua, Jinjiang Li
wiley +1 more source
Multimodal Image Fusion for X-ray Grating Interferometry
Sensors, 2023 X-ray grating interferometry (XGI) can provide multiple image modalities. It does so by utilizing three different contrast mechanisms—attenuation, refraction (differential phase-shift), and scattering (dark-field)—in a single dataset. Combining all three
Haoran Liu +6 more
doaj +1 more source
IET Image Processing, Volume 16, Issue 1, Page 216-228, January 2022., 2022 Abstract In this paper, a new Multi‐Focus Image Fusion (MFIF) method based on multi‐source joint layering and Convolutional Sparse Representation (CSR) is proposed. Based on the characteristics of multi‐focus source images, a multi‐source joint layering regularization model was designed to divide the sources into a common base‐layer and respective ...
Yanxiang Hu +4 more
wiley +1 more source
Remote Sensing Image Change Detection Based on NSCT-HMT Model and Its Application
Sensors, 2017 Traditional image change detection based on a non-subsampled contourlet transform always ignores the neighborhood information’s relationship to the non-subsampled contourlet coefficients, and the detection results are susceptible to noise interference ...
Pengyun Chen +4 more
doaj +1 more source
Noise Reduction Method for Intestinal Image Acquired by Intestinal Robot
Shanghai Jiaotong Daxue xuebao, 2021 The wireless powered intestinal robot transmits the intestinal images taken by the image acquisition system to the external upper computer for diagnosis.
XUE Rongrong, WANG Zhiwu, YAN Guozheng, ZHUANG Haoyu
doaj +1 more source
Mathematical Problems in Engineering, Volume 2022, Issue 1, 2022., 2022 In seismic exploration, effective seismic signals can be seriously distorted by and interfered with noise, and the performance of traditional seismic denoising approaches can hardly meet the requirements of high‐precision seismic exploration. To remarkably enhance signal‐to‐noise ratios (SNR) and adapt to high‐precision seismic exploration, this work ...
Yu Yang +8 more
wiley +1 more source