Local-CycleGAN: a general end-to-end network for visual enhancement in complex deep-water environment

Zong, Xianhui; Chen, Zhehan; Wang, Dadong

doi:10.1007/s10489-020-01931-w

Cited by 28 publications

(12 citation statements)

References 19 publications

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“…Judging by the students' assessment of whether the concept of content management and whether the management meets the needs of the Internet age, 31.39% of students answered that “control,” and 19.71% and 16.42% of students considered “change” and “adapt,” respectively (see Figure 16 ). It seems that how to change the concept and management system to meet the needs of the network age has become an important issue that needs to be addressed [ 25 ].…”

Section: Current Status and Issues Of College Students' Ideological A...mentioning

confidence: 99%

[Retracted] The Problems of “Mental Health Trend” in the Ideological and Political Management of College Students Under the Network Environment

Quan

2022

Journal of Environmental and Public Health

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In order to solve the problem that the ideological and political work mechanism in colleges and universities is relatively backward, which has no significant effect on ensuring the healthy and vigorous development of socialist universities with Chinese characteristics and promoting the all-round growth of students, this research focuses on the innovative countermeasures of ideological and political work in colleges and universities under the network environment from the perspective of ideological and political education. Therefore, the current situation and problems of ideological and political education management in colleges and universities are understood through questionnaire survey and interview. It is learned that 24.09% of students believe that the level of ideological and political education activities in colleges and universities is declining, 32.12% of students do not like the traditional way of ideological and political education, 33.94% of students have a general evaluation of the current ideological and political education management, and 58.03% of students believe that the way of ideological and political education is relatively single. Network psychological education for college students is a kind of educational behavior aimed at the psychological change process of college students in the Internet environment, and it conducts psychological education for college students in terms of cognition, emotion, will, ethics, personality shaping, interpersonal communication, and so on. Based on the above problems, combined with the requirements of ideological and political management and the needs of students, this article puts forward countermeasures from three aspects: management mechanism innovation, team improvement, and adaptation ways. Therefore, the management of ideological and political education in the network era is not a thing overnight, and must be adhered to for a long time. Only by constantly exploring, strengthening research, absorbing the strengths of others, innovating and developing, the ideological and political education management in the network era will increasingly show its strong effectiveness and play a more and more important role in practical work. The lack of network morality and network norms not only affects the ideological and political education but also affects the ideological and moral elements of higher vocational students’ quality and physical and mental health.

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Section: Current Status and Issues Of College Students' Ideological A...mentioning

confidence: 99%

[Retracted] The Problems of “Mental Health Trend” in the Ideological and Political Management of College Students Under the Network Environment

Quan

2022

Journal of Environmental and Public Health

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“…With continuous research by scholars in various fields, CycleGAN has gradually been widely used in the field of image data augmentation. [47,48] Using local and global discriminators, Zong et al [47] came up with a generative adversarial network that constrains both the global and local effects of images with a local cycle-consistent approach. Training of the network was controlled via a feedback mechanism to enhance deepwater images from complex environments.…”

Section: Data Augmentationmentioning

confidence: 99%

“…[ 47,48 ] Using local and global discriminators, Zong et al. [ 47 ] came up with a generative adversarial network that constrains both the global and local effects of images with a local cycle‐consistent approach. Training of the network was controlled via a feedback mechanism to enhance deepwater images from complex environments.…”

Section: Related Workmentioning

confidence: 99%

Crude Oil Leakage Detection Based on DA‐SR Framework

Gong

Gao

Yuan

et al. 2022

Advcd Theory and Sims

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Crude oil leakage is a security issue that needs to be avoided in many production areas such as oil fields and substations. However, crude oil leakage image data is often difficult to obtain due to security and privacy issues in the working area. And shadow interference is also a challenge for oil leakage detection tasks. This paper proposes a crude oil leakage detection method based on the DA‐SR framework. The framework consists of two parts: the data augmentation module and shadow removal module. High‐quality synthetic oil leakage images are generated using the cycle‐consistent adversarial networks (CycleGAN), and further process the synthetic images by a T‐CutMix sample processing method. To solve the problem of shadow interference, this paper uses the FlocalLoss function to calculate the confidence loss based on the YOLOv4 detection network and a hard sample retraining (HSR) algorithm to enhance the images with shadows. The experiments demonstrate that the combination of original and synthetic images when training the model can improve the performance of oil leakage detection. Finally, it is also shown that the detector built from the framework can effectively reduce the false detection of shadows.

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“…The network can learn a loss function to train the mapping from input images to output images. Zong et al [13] proposed a local cycle-consistent generative adversarial network to enhance images acquired in a complex deep-water environment. These methods assume that the image to be enhanced is of low resolution but cannot provide satisfactory results when applied to UHD images taken by DSLR cameras.…”

Section: Introductionmentioning

confidence: 99%

An end‐to‐end perceptual enhancement method for UHD portrait images

Yang

Zhang

2022

IET Image Processing

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Advances in equipment enable photographers to take ultra-high-definition (UHD) photos, and photo retouching enables them to create an impressive image by artistically adjusting and enhancing the brightness, color etc. However, such image enhancement is an artistic and challenging task, which requires a lot of relevant experience and technology. Thus, using an automated algorithm is an attractive option. In recent years, deep learning has made great progress in image processing, which motivated the authors to explore this application in UHD image enhancement task. In this paper, an end-to-end perceptual enhancement method for UHD portrait images is proposed. Since the artistry of images comes from human perception, including the perception of exposure, structure, color etc., an image preprocessing method is proposed which can help the network learn the brightness change from the original image to the target image more accurately. Then, a composite perceptual loss function is proposed that combines global, structural, and color losses. This loss allows the network to simultaneously optimize the distance and perceptual similarity to a given target image during back-propagation. To preserve the details of the UHD image and reduce the number of network calculations and parameters, a Perceptual Enhancement Network (called PEN) based on dilated convolution is proposed. Extensive experiments on the datasets show that the method excels in baselines in both subjective and objective evaluations.

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Local-CycleGAN: a general end-to-end network for visual enhancement in complex deep-water environment

Cited by 28 publications

References 19 publications

[Retracted] The Problems of “Mental Health Trend” in the Ideological and Political Management of College Students Under the Network Environment

[Retracted] The Problems of “Mental Health Trend” in the Ideological and Political Management of College Students Under the Network Environment

Crude Oil Leakage Detection Based on DA‐SR Framework

An end‐to‐end perceptual enhancement method for UHD portrait images

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