Results 21 to 30 of about 28,245 (221)
YOLOFig detection model development using deep learning
IET Image Processing, 2021 The detection of fruit, including accuracy and speed is of great significance for robotic harvesting. Nevertheless, attributes such as illumination variation, occlusion, and so on have made fruit detection a challenging task.
Olarewaju Mubashiru Lawal, Huamin Zhao
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Hierarchical distillation for image compressive sensing reconstruction
Electronics Letters, 2021 Compressive sensing (CS) is an effective algorithm for reconstructing images from a small sample of data. CS models combining traditional optimisation‐based CS methods and deep learning have been used to improve image reconstruction performance. However,
Bokyeung Lee +3 more
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Forgery localization in images based on joint statistics of image blocks with neighbouring blocks
IET Image Processing, 2021 Flawless image forensic analysis necessitates precise identification of tampering regions in digital images along with the determination of state of an image (original or forged). Most of the efforts towards localization of forgeries involve localization
Divya Singhal, Abhinav Gupta
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Restore DeepFakes video frames via identifying individual motion styles
Electronics Letters, 2021 Recent advance on highly realistic AI‐synthesised video approaches makes it hard to distinguish whether a speaker in video is real. Many existing DeepFakes detection approaches can be invalidated by using them as supervision in adversarial training ...
Haichao Zhang +3 more
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Angular‐flexible network for light field image super‐resolution
Electronics Letters, 2021 Light field (LF) cameras capture scenes from multiple views and provide additional angular information for image super‐resolution (SR). Existing CNN‐based LF image SR methods commonly develop specific models for different angular resolutions.
Zhengyu Liang +4 more
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An adaptive level set method based on joint estimation dealing with intensity inhomogeneity
IET Image Processing, 2021 Automatic object segmentation has been a challenging task due to intensity inhomogeneity. The traditional way is to eliminate the intensity inhomogeneity, which causes the object to lose useful intensity information. The authors propose an adaptive level
Jiang Zhu +4 more
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Part‐MOT: A multi‐object tracking method with instance part‐based embedding
IET Image Processing, 2021 Part‐MOT, a one‐stage anchor‐free architecture which unifies the object identification representation and detection in one task for visual object tracking is presented.
Xiaohu Liu +4 more
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Weakly supervised salient object detection via double object proposals guidance
IET Image Processing, 2021 The weakly supervised methods for salient object detection are attractive, since they greatly release the burden of annotating time‐consuming pixel‐wise masks.
Zhiheng Zhou +4 more
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IET Image Processing, 2021 To help CVD (colour vision deficiency) observers distinguish among different colours in digital images, this study proposes a content‐dependent Daltonization algorithm based on lightness and chroma information.
Xuming Shen, Jianhua Feng, Xiandou Zhang
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Fusion‐based simultaneous estimation of reflectance and illumination for low‐light image enhancement
IET Image Processing, 2021 Low‐light image enhancement is a challenging field in image processing. Retinex‐based methods perform well for low‐light images. However, reflectance and illumination estimation is an ill‐posed problem.
Anil Singh Parihar +3 more
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