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Exploring Image Enhancement for Salient Object Detection in Low Light Images [article]

Xin Xu, Shiqin Wang, Zheng Wang, Xiaolong Zhang, Ruimin Hu
2020 arXiv   pre-print
In this work, we propose an image enhancement approach to facilitate the salient object detection in low light images.  ...  The proposed model directly embeds the physical lighting model into the deep neural network to describe the degradation of low light images, in which the environment light is treated as a point-wise variate  ...  Comparisons with several SOD methods on low light images enhanced via PIE.  ... 
arXiv:2007.16124v1 fatcat:3sdhxlr6o5hqjbamscqiokc62m

Image Enhancement Techniques: A Review

Abhinav Bansal, Navdeep Singh
2020 Asian journal of convergence in technology  
To optimize the image, various contrast enhancement techniques are used. In this paper, some image enhancement techniques have been evaluated.  ...  Image enhancement is the process of noise removal from images, brighten or sharpen the images to clearly identifying the key features of the image.  ...  Assessment of the color transfer Input Image Local Contrast Stretching Global Contrast Stretching Combination of local and global method for contrast image enhancement Output Image  ... 
doi:10.33130/ajct.2020v06i02.002 fatcat:wswb334xgvggvbe44qhnfwzrau

EnlightenGAN: Deep Light Enhancement without Paired Supervision [article]

Yifan Jiang, Xinyu Gong, Ding Liu, Yu Cheng, Chen Fang, Xiaohui Shen, Jianchao Yang, Pan Zhou, Zhangyang Wang
2021 arXiv   pre-print
for the low-light image enhancement problem, including a global-local discriminator structure, a self-regularized perceptual loss fusion, and attention mechanism.  ...  As one such example, this paper explores the low-light image enhancement problem, where in practice it is extremely challenging to simultaneously take a low-light and a normal-light photo of the same visual  ...  [22] introduced a joint low-light image enhancement and denoising model via decomposition in a successive image sequence.  ... 
arXiv:1906.06972v2 fatcat:sq3oxeq6pzdjdjmlamszanym54

2020 Index IEEE Transactions on Image Processing Vol. 29

2020 IEEE Transactions on Image Processing  
., +, TIP 2020 7045-7060 Robust Face Super-Resolution via Position Relation Model Based on Global Face Context.  ...  ., +, TIP 2020 2409-2423 Robust Face Super-Resolution via Position Relation Model Based on Global Face Context.  ... 
doi:10.1109/tip.2020.3046056 fatcat:24m6k2elprf2nfmucbjzhvzk3m

Super-Pixel Guided Low-Light Images Enhancement with Features Restoration

Xiaoming Liu, Yan Yang, Yuanhong Zhong, Dong Xiong, Zhiyong Huang
2022 Sensors  
Through extensive experiments on the synthesized low-light image and the real low-light image, the experimental results of our algorithm reach 23.402, 0.920, and 2.2490 for Peak Signal to Noise Ratio (  ...  (ANPs) network to find its local enhancement function on each super-pixel to further restore features and details.  ...  Acknowledgments: We give thanks for the funding from the Natural Science Foundation of China, the special project of technological innovation and application development of Chongqing and the Science and  ... 
doi:10.3390/s22103667 fatcat:v4a4hawl7fcx7i6icyvk6kphea

Attention based Broadly Self-guided Network for Low light Image Enhancement [article]

Zilong Chen, Yaling Liang, Minghui Du
2021 arXiv   pre-print
by stacking network structures and deepening the depth of the network.which causes more runtime cost on single image.In order to reduce inference time while fully extracting local features and global features.Inspired  ...  During the past years,deep convolutional neural networks have achieved impressive success in low-light Image Enhancement.Existing deep learning methods mostly enhance the ability of feature extraction  ...  Zero-reference deep curve estimation for low-light Global information aware network for low-light imaging. In image enhancement.  ... 
arXiv:2112.06226v2 fatcat:v6mn327srfaz5awrujyxknqgqy

An End-to-End Joint Learning Scheme of Image Compression and Quality Enhancement with Improved Entropy Minimization [article]

Jooyoung Lee, Seunghyun Cho, Munchurl Kim
2020 arXiv   pre-print
Also the JointIQ-Net benefits from improved entropy-minimization that newly adopts a Gussian Mixture Model (GMM) and further exploits global context to estimate the probabilities of latent representations  ...  In this paper, we propose a novel joint learning scheme of image compression and quality enhancement, called JointIQ-Net, as well as entropy model improvement, thus achieving significantly improved coding  ...  For this, we define the global context as information aggregated from both local and non-local context regions, where the local context region is within the fixed distance, denoted as K, from the current  ... 
arXiv:1912.12817v2 fatcat:bbjee5qymjf6ji4tsdonkgljta

VCIP 2020 Index

2020 2020 IEEE International Conference on Visual Communications and Image Processing (VCIP)  
Enhancement Network based on Global Illumination Estimatio Faria, Sergio M.  ...  set for low-light enhancement Theory of Occlusion for Improving Rendering Quality of Views Zhu, Changjian A Discrete Cosine Model of Light Field Samplin for Improving Rendering Quality of Views Zhu, Fei  ... 
doi:10.1109/vcip49819.2020.9301896 fatcat:bdh7cuvstzgrbaztnahjdp5s5y

Table of contents

2018 IEEE Transactions on Image Processing  
Truong 2762 Structure-Revealing Low-Light Image Enhancement Via Robust Retinex Model ........................................... ........................................................................  ...  Paull 3036 Region, Boundary, and Shape Analysis Deep Spatiality: Unsupervised Learning of Spatially-Enhanced Global and Local 3D Features by Deep Neural Network With Coupled Softmax ...................  ... 
doi:10.1109/tip.2018.2826279 fatcat:g2phh6es3vhq5arrsk62bblzua

Unsupervised Low-light Image Enhancement with Decoupled Networks [article]

Wei Xiong, Ding Liu, Xiaohui Shen, Chen Fang, Jiebo Luo
2022 arXiv   pre-print
In addition to conventional benchmark datasets, a new unpaired low-light image enhancement dataset is built and used to thoroughly evaluate the performance of our model.  ...  Conventional unsupervised learning-based approaches usually tackle the low-light image enhancement problem using an image-to-image translation model.  ...  The global discriminator encourages the global appearance of the enhanced image to be similar to a normal-light image, while the local discriminator ensures that the local context (shadow, local contrast  ... 
arXiv:2005.02818v2 fatcat:26npb5rnlvgv3deu3ypusi7nxq

3D RECONSTRUCTION AND MESH OPTIMIZATION OF UNDERWATER SPACES FOR VIRTUAL REALITY

A. El Saer, C. Stentoumis, I. Kalisperakis, L. Grammatikopoulos, P. Nomikou, O. Vlasopoulos
2020 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
The methodology in this work consists of five sequential pre-processes; saturation enhancement, haze reduction, and Rayleigh distribution adaptation, to de-haze the images, global histogram matching to  ...  Other factors, such as artificial lights, also, diminish the quality of images and, thus, the quality of the image-based 3D reconstruction.  ...  ACKNOWLEDGEMENTS This research has been co-financed by the European Union and Greek national funds through the Operational Program Competitiveness, Entrepreneurship and Innovation, under the call RESEARCH  ... 
doi:10.5194/isprs-archives-xliii-b2-2020-949-2020 fatcat:3elnueu7zjbnxpg5m6evgk3usi

Author Index

2010 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition  
for Detecting Parts by their Context Ulrich, Markus Model Globally, Match Locally: Efficient and Robust 3D Object Recognition Ulusoy, Ali Osman Workshop: Robust One-Shot 3D Scanning Using Loopy Belief  ...  Workshop: Local Concept-Based Medical Image Retrieval with Correlation-Enhanced Similarity Matching Based on Global Analysis Thompson, Paul Compression of Surface Registrations using Beltrami Coefficients  ... 
doi:10.1109/cvpr.2010.5539913 fatcat:y6m5knstrzfyfin6jzusc42p54

Table of contents

2020 IEEE Transactions on Image Processing  
Qin 5737 LR3M: Robust Low-Light Enhancement via Low-Rank Regularized Retinex Model ...................................... ...............................................................................  ...  Duan, and G. Qiu 7819 Lightening Network for Low-Light Image Enhancement ......... L.-W. Wang, Z.-S. Liu, W.-C. Siu, and D. P. K.  ...  Lin, and Zhang, Y. Tian, K. Wang, W. Zhang, and F.-  ... 
doi:10.1109/tip.2019.2940373 fatcat:i7hktzn4wrfz5dhq7hj75u6esa

Extremely Low Light Video Enhancement along with No-Reference Video Quality Measurements

Anitha C, NICHE, Tamil Nadu, India
2019 International Journal of Advanced Trends in Computer Science and Engineering  
After removing the noise by using NLM filter image enhancement of extremely low light video is carried out.  ...  Low light video enhancement is a challenge many researchers have been facing. Low illumination is the cause for low light videos.  ...  The purpose of extremely low light video enhancement is to improve brightness and contrast of low light video.  ... 
doi:10.30534/ijatcse/2019/42852019 fatcat:5way4m4km5e25godw3g7xzyimu

2021 Index IEEE Transactions on Image Processing Vol. 30

2021 IEEE Transactions on Image Processing  
The primary entry includes the coauthors' names, the title of the paper or other item, and its location, specified by the publication abbreviation, year, month, and inclusive pagination.  ...  The Subject Index contains entries describing the item under all appropriate subject headings, plus the first author's name, the publication abbreviation, month, and year, and inclusive pages.  ...  ., +, TIP 2021 4305-4315 End-to-End Learnt Image Compression via Non-Local Attention Optimization and Improved Context Modeling.  ... 
doi:10.1109/tip.2022.3142569 fatcat:z26yhwuecbgrnb2czhwjlf73qu
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