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Image resolution enhancement using dual-tree complex wavelet transform [PDF]
, 2010 In this letter, a complex wavelet-domain image resolution enhancement algorithm based on the estimation of wavelet coefficients is proposed. The method uses a forward and inverse dual-tree complex wavelet transform (DT-CWT) to construct a high-resolution
Tjahjadi, Tardi, Çelik, Turgay
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Attention-Based Network For Low-Light Image Enhancement [PDF]
2020 IEEE International Conference on Multimedia and Expo (ICME), 2020 The captured images under low light conditions often suffer insufficient brightness and notorious noise. Hence, low-light image enhancement is a key challenging task in computer vision. A variety of methods have been proposed for this task, but these methods often failed in an extreme low-light environment and amplified the underlying noise in the ...
Cheng Zhang +5 more
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Unsupervised Low-Light Image Enhancement via Virtual Diffraction Information in Frequency Domain
, 2023 With the advent of deep learning, significant progress has been made in low-light image enhancement methods. However, deep learning requires enormous paired training data, which is challenging to capture in real-world scenarios.
Xupei Zhang +5 more
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Low-Light Homomorphic Filtering Network for integrating image enhancement and classification
, 2021 Low-light image (LLI) enhancement techniques have recently demonstrated remarkable progress especially with the use of deep learning approaches. However, most existing techniques are developed as standalone solutions and do not take into account the ...
Tekli, Joe, Al Sobbahi, Rayan
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SPLIE: Optimal Illumination Estimation for Structure Preserving Low-light Image Enhancement [PDF]
Port Said Engineering Research Journal, 2021 The images taken in low-light conditions often have many flaws such as, color vividness and low visibility which negatively affects the performance of many vision-based systems.
Ghada Sandoub +3 more
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LiCENt: Low-Light Image Enhancement Using the Light Channel of HSL
IEEE Access, 2022 Images captured in low-brightness environments often lead to poor visibility and exhibit artifacts such as low brightness, low contrast, and color distortion.
Atik Garg, Xin-Wen Pan, Lan-Rong Dung
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Enhancing Low-Light Images Using Infrared Encoded Images
2023 IEEE International Conference on Image Processing (ICIP), 2023 Low-light image enhancement task is essential yet challenging as it is ill-posed intrinsically. Previous arts mainly focus on the low-light images captured in the visible spectrum using pixel-wise loss, which limits the capacity of recovering the brightness, contrast, and texture details due to the small number of income photons.
Shulin Tian +5 more
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Endoscopic image enhancement with noise suppression
Healthcare Technology Letters, 2018 Stereoscopic endoscopes have been used increasingly in minimally invasive surgery to visualise the organ surface and manipulate various surgical tools. However, insufficient and irregular light sources become major challenges for endoscopic surgery.
Wenyao Xia +2 more
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Low Light Image Enhancement for Dark Images [PDF]
International Journal of Data Science and Analysis, 2020 Image plays an important role in this present technological world and leads to progress in multimedia communication, various research fields related to image processing, etc. Low-light image enhancement specifically addresses images captured in low-light conditions such as nighttime, where the common goal is to brighten and improve the contrast of the ...
Akshay Patil +4 more
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Convolutional Neural Network-Based Low Light Image Enhancement Method
Компьютерная оптикаWith advances in science and technology, remote sensing images are vital for vegetation monitoring. The use of remote sensing allows for the collection of widespread, multi-temporal data on vegetation, leading to a better comprehension and management of ...
M.X. Li, C.J. Xu
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