Results 31 to 40 of about 6,403,045 (365)
IEEE Access, 2020 The emergence of 4D heart images makes the data volume of the images multiply. It is more urgent to require an effective and fast segmentation algorithm.
Hui Liu, W. Chu, Hua Wang
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Visual saliency in noisy images
Journal of Vision, 2013 The human visual system possesses the remarkable ability to pick out salient objects in images. Even more impressive is its ability to do the very same in the presence of disturbances. In particular, the ability persists despite the presence of noise, poor weather, and other impediments to perfect vision.
Chelhwon, Kim, Peyman, Milanfar
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Improving RGBD Saliency Detection Using Progressive Region Classification and Saliency Fusion
IEEE Access, 2016 This paper proposes an effective method to improve the saliency detection performance of existing RGBD (RGB image with Depth map) saliency models. First, a progressive region classification method is proposed to collect training samples at coarse scale ...
Huan Du +4 more
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Consistent image processing based on co‐saliency
CAAI Transactions on Intelligence Technology, 2021 In a group of images, the recurrent foreground objects are considered as the key objects in the group of images. In co‐saliency detection, these are described as common saliency objects.
Xiangnan Ren +3 more
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A Saliency Dispersion Measure for Improving Saliency-Based Image Quality Metrics [PDF]
IEEE Transactions on Circuits and Systems for Video Technology, 2018 Objective image quality metrics (IQMs) potentially benefit from the addition of visual saliency. However, challenges to optimising the performance of saliency-based IQMs remain. A previous eye-tracking study has shown that gaze is concentrated in fewer places in images with highly salient features than in images lacking salient features.
Wei Zhang, Ralph R. Martin, Hantao Liu
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Computational Modeling of Saliency from Image Histogram
i-Perception, 2011 Computational model of image saliency plays an important role for vision tasks such as visual search and attention modeling. We developed a computational model that captures both shape and color image saliency based on histograms.
Shijian Lu, Joo Hwee Lim
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Boosting color saliency in image feature detection [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2006 The aim of salient feature detection is to find distinctive local events in images. Salient features are generally determined from the local differential structure of images. They focus on the shape-saliency of the local neighborhood. The majority of these detectors are luminance-based, which has the disadvantage that the distinctiveness of the local ...
Van De Weijer, Joost +2 more
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Deep Visual Saliency on Stereoscopic Images
IEEE Transactions on Image Processing, 2019 Visual saliency on stereoscopic 3D (S3D) images has been shown to be heavily influenced by image quality. Hence, this dependency is an important factor in image quality prediction, image restoration and discomfort reduction, but it is still very difficult to predict such a nonlinear relation in images.
Anh-Duc Nguyen +5 more
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IEEE Access, 2022 Interpretability of DNN-based object detection has been a rising concern for the research community. The first step towards this goal is a saliency map that visualizes the importance (saliency) of pixels in an image for the object detected by a specific ...
Yicheng Yan +4 more
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A Reverse Hierarchy Model for Predicting Eye Fixations [PDF]
, 2014 A number of psychological and physiological evidences suggest that early visual attention works in a coarse-to-fine way, which lays a basis for the reverse hierarchy theory (RHT).
Hu, Xiaolin, Ming, Liang, Shi, Tianlin
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