Reversible Microfluidic Platform for Spheroid Culturing, Downstream Characterization, and Dynamic Anticancer Susceptibility Testing. [PDF]
ACS Meas Sci AuSousa Ribeiro IR +10 more
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Construction of an activatable ratiometric fluorescent nanoprobe for HClO detection and imaging in acute kidney injury models. [PDF]
RSC AdvWu T +6 more
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Single-Image Dehazing Based on Improved Bright Channel Prior and Dark Channel Prior
Electronics, 2023 Single-image dehazing plays a significant preprocessing role in machine vision tasks. As the dark-channel-prior method will fail in the sky region of the image, resulting in inaccurately estimated parameters, and given the failure of many methods to address a large band of haze, we propose a simple yet effective method for single-image dehazing based ...
Hao Zhou, Hailing Xiong
exaly +3 more sources
Dark and Bright Channel Prior Embedded Network for Dynamic Scene Deblurring [PDF]
IEEE Transactions on Image Processing, 2020 Recent years have witnessed the significant progress on convolutional neural networks (CNNs) in dynamic scene deblurring. While most of the CNN models are generally learned by the reconstruction loss defined on training data, incorporating suitable image priors as well as regularization terms into the network architecture could boost the deblurring ...
Lei Zhang, Wangmeng Zuo, Jianrui Cai
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Radial Bright Channel Prior for Single Image Vignetting Correction
Lecture Notes in Computer Science, 2014This paper presents a novel prior, radial bright channel (RBC) prior, for single image vignetting correction. The RBC prior is derived from a statistical property of vignetting-free images: for the pixels sharing the same radius in polar coordinates of an image, at least one pixel has a high intensity value at some color channel.
Seungyong Lee, Hyunjoon Lee, Hojin Cho
exaly +3 more sources
Blind Image Deblurring Using a Non-Linear Channel Prior Based on Dark and Bright Channels
IEEE Transactions on Image Processing, 2021Blind image deblurring aims at recovering a clean image from the given blurry image without knowing the blur kernel. Recently proposed dark and extreme channel priors have shown their effectiveness in deblurring various blurry scenarios. However, these two priors fail to help the blur kernel estimation under the particular circumstance that clean ...
Xianyu Ge, Jieqing Tan
exaly +4 more sources
Dark and Bright Channel Priors for Haze Removal in Day and Night Images
Intelligent Automation & Soft Computing, 2022Removal of noise from images is very important as a clear, denoised image is essential for any application.In this article, a modified haze removal algorithm is developed by applying combined dark channel prior and multi-scale retinex theory.The combined dark channel prior (DCP) and bright channel prior (BCP) together with the multi-scale retinex (MSR)
U. Hari, A. Ruhan Bevi
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Unsupervised Low-Light Image Enhancement Using Bright Channel Prior
IEEE Signal Processing Letters, 2020Recent approaches for low-light image enhancement achieve excellent performance through supervised learning based on convolutional neural networks. However, it is still challenging to collect a large amount of low-/normal-light image pairs in real environments for training the networks.
Hunsang Lee, Kwanghoon Sohn, Dongbo Min
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Blind Ultrasound Images Deblurring Based on Quadratic Sparse Bright Channel Prior
2021 The 4th International Conference on Image and Graphics Processing, 2021For an ultrasound blurry image with more dark pixels and the blurry ultrasound image is not sparse enough after the bright channel prior deblurring. In order to make more effective use of the image information and enhance the sparsity of the ultrasound images obtained after deblurring, a method of blind ultrasound image deblurring based on quadratic ...
Qian Ma +4 more
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