Showing 1-25 of 570 resultsfor "Index Terms":boundary information enhancement
"Index Terms":boundary information enhancement
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High-Resolution Low-Light Image Enhancement Technique Using Edge and Color Information
2024 IEEE 7th International Conference on Automation, Electronics and Electrical Engineering (AUTEEE)
Year: 2024 | Conference Paper |
The paper addresses the challenges in enhancing Low-light images, which are crucial for various computer vision applications like semantic segmentation, object detection, and autonomous driving. Low-light image enhancement is vital because poor image quality in such conditions affects the accuracy and performance of algorithms. Traditional enhancement techniques, such as histogram equalization and...Show More
Color image enhancement based on retinex theory with guided filter
2017 29th Chinese Control And Decision Conference (CCDC)
Year: 2017 | Conference Paper |
Cited by: Papers (6)
Color image enhancement is widely used in digital image processing. Retinex performs well in color image enhancement, however, traditional Gaussian filter-based retinex algorithms exist some problems such as halo artifacts and detail loss. To solve these problems, we propose an improved retinex image enhancement algorithm based on the guided filter, which is processed in IHS color space. We replac...Show More
A partial differential equation algorithm for image enhancement
2012 IEEE International Conference on Information and Automation
Year: 2012 | Conference Paper |
A novel approach for image enhancement is presented in this paper. The enhancement result is achieved by combination the means of contrast enhancement, image smoothing and image sharpening techniques into one partial differential equation (PDE) framework. In the image evolution process, three kinds of operation execute at the same time, using the regularization parameters to adjust the proportion ...Show More
The performance evaluation of the Cat and Particle Swarm Optimization Techniques in the image enhancement
Hilmi Bilal Çam;Salim Akçakoca;Ahmet Elbir;Hamza Osman Ilhan;Nizamettin Aydın
2018 Electric Electronics, Computer Science, Biomedical Engineerings' Meeting (EBBT)
Year: 2018 | Conference Paper |
The aim of this study is to adjust automatically the contrast level of the distorted images. Since the images are in two- dimensional and multiple parameters are need to be tuned in the enhancement techniques, the classical algorithms increase the computational complexity with less enhancement success. However, optimization algorithms are able to find the optimal solutions to different types of pr...Show More
Extracting Agricultural Parcel Boundaries From High Spatial Resolution Remote Sensing Images Based on a Multi-Task Deep Learning Network With Boundary Enhancement Mechanism
Hai-Rong Ma;Xiang-Cheng Shen;Zhi-Qing Luo;Ping-Ting Chen;Bo Guan;Ming-Xue Zheng;Wen-Sen Yu
Extracting agricultural parcel boundaries from remote sensing images based on deep learning methods is currently the most promising method. Due to the diversity of agricultural types and limitations of deep learning networks, parcel boundaries extracted by edge detection deep learning networks lack target specificity, and parcel boundaries extracted by semantic segmentation deep learning networks ...Show More
Connectivity Information-Aided Belief Propagation for Cooperative Localization
This letter proposes a cooperative localization algorithm based on connectivity information-aided belief propagation that can enhance belief propagation, which relies on the mutual exchange of location information with uncertainty. The connectivity information in the network is used to reduce the location uncertainty in the belief. As a result, it is possible to prevent the message flow of unneces...Show More
Implementation of An Automatic Image Enhancement Algorithm for Contrast Stretching on FPGA
2020 IEEE 9th Joint International Information Technology and Artificial Intelligence Conference (ITAIC)
Year: 2020 | Conference Paper |
Cited by: Papers (2)
In the current era of mobile Internet and big data, as an important part of the network information source of video images and its applications throughout various fields. Video image acquisition process is susceptible to the changing external environment, resulting in low image contrast, grayscale darkness and gray dynamic range contraction and other issues, resulting in image quality degradation,...Show More
Fog image enhancement algorithm based on improved Retinex algorithm
2022 3rd International Conference on Electronic Communication and Artificial Intelligence (IWECAI)
Year: 2022 | Conference Paper |
Cited by: Papers (4)
In order to enhance the contrast, color and brightness information of the foggy image, an improved Retinex algorithm is proposed to enhance the foggy image. First, based on the Retinex algorithm, the Gaussian iterative algorithm is used to solve the total variational energy functional function, so as to effectively maintain the color constancy. Secondly, the method of combining relative gradient a...Show More
An evaluation of contrast enhancement techniques for mammographic breast masses
The main aim of this paper is to propose a novel set of metrics that measure the quality of the image enhancement of mammographic images in a computer-aided detection framework aimed at automatically finding masses using machine learning techniques. Our methodology includes a novel mechanism for the combination of the metrics proposed into a single quantitative measure. We have evaluated our metho...Show More
Progressive Region-to-Boundary Exploration Network for Camouflaged Object Detection
Guanghui Yue;Shangjie Wu;Tianwei Zhou;Gang Li;Jie Du;Yu Luo;Qiuping Jiang
Camouflaged object detection (COD) aims to segment targeted objects that have similar colors, textures, or shapes to their background environment. Due to the limited ability in distinguishing highly similar patterns, existing COD methods usually produce inaccurate predictions, especially around the boundary areas, when coping with complex scenes. This paper proposes a Progressive Region-to-Boundar...Show More
Clarity Algorithm of Images in the Fog and Application
2009 International Conference on Computational Intelligence and Security
Year: 2009 | Conference Paper |
Cited by: Papers (1)
This paper proposes a new fog images clarity algorithm which is based on the combination of wavelet transform, top-hat transform and bottom-hat transform. This algorithm also processes the sky region separated out. Experimental results demonstrate that the contrast and clarity of images are much improved after they are processed by the algorithm proposed in this paper, and it effectively reduces t...Show More
Low-light Image Enhancement Based on Multi-scale and Mixed Loss Function
2024 3rd International Conference on Electronics and Information Technology (EIT)
Year: 2024 | Conference Paper |
Aiming at the problems of low brightness, weak contrast, and blurred edges of low illumination images, a multi-scale and mixed loss function based enhancement algorithm (MMLNet) for low illumination images is proposed. Firstly, the input image is decomposed into the illumination and reflectance, and the multi-scale channel and pixel attention module is designed, which is more conducive to the netw...Show More
Optical Flow Enhancement and Effect Research in Action Recognition
2021 IEEE 13th International Conference on Computer Research and Development (ICCRD)
Year: 2021 | Conference Paper |
Cited by: Papers (2)
The accuracy of video-based action recognition depends largely on the extraction and utilization of optical flow, especially in two-stream networks. The original intention of the introduction of optical flow is to use the time information contained in video, however, the subsequent work shows that optical flow is useful for action recognition because it is invariant to appearance. In this article,...Show More
Foggy image enhancement based on Principal Component Analysis
2013 IEEE 56th International Midwest Symposium on Circuits and Systems (MWSCAS)
Year: 2013 | Conference Paper |
Foggy image enhancement is an important branch of digital image processing, which significantly benefits traffic and outdoor visual systems. To overcome the shortcomings of the existing foggy image enhancement algorithms, we have developed a method that combines Principal Component Analysis (PCA), Multi-Scale Retinex (MSR) and Global Histogram Equalization (GHE). Initially, a PCA transform is appl...Show More
FindNet: Can You Find Me? Boundary-and-Texture Enhancement Network for Camouflaged Object Detection
Peng Li;Xuefeng Yan;Hongwei Zhu;Mingqiang Wei;Xiao-Ping Zhang;Jing Qin
Camouflaged objects share very similar colors but have different semantics with the surroundings. Cognitive scientists observe that both the global contour (i.e., boundary) and the local pattern (i.e., texture) of camouflaged objects are key cues to help humans find them successfully. Inspired by the cognitive scientist’s observation, we propose a novel boundary-and-texture enhancement network (Fi...Show More
Salient Object Detection Based on Transformer and Multi-scale Feature Fusion
2023 3rd International Conference on Neural Networks, Information and Communication Engineering (NNICE)
Year: 2023 | Conference Paper |
It is difficult to learn global remote semantic information based on convolutional neural network, and it is difficult to obtain multi-scale feature information based on Vision Transformer, Swin Transformer and Pyramid Vision Transformer. However, salient objects maybe involve different scales. This paper introduces Shunted Transformer as the backbone network to extract multi-scale features to ach...Show More
BSNet: Dynamic Hybrid Gradient Convolution Based Boundary-Sensitive Network for Remote Sensing Image Segmentation
Boundary information is essential for the semantic segmentation of remote sensing images. However, most existing methods were designed to establish strong contextual information while losing detailed information, making it challenging to extract and recover boundaries accurately. In this article, a boundary-sensitive network (BSNet) is proposed to address this problem via dynamic hybrid gradient c...Show More
The detection of tile surface defects relies heavily on manual work and the existing automatic detection methods are difficult to be used in industrial production. In this paper, we propose a visual detection method of tile surface defects based on image enhancement and region growing algorithm. First, to eliminate the noise interference, uneven illumination and reflect light of surface during ima...Show More
Image Enhancement Method Based on Bilinear Interpolating and Wavelet Transform
2021 IEEE 5th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)
Year: 2021 | Conference Paper |
Cited by: Papers (2)
In order to enhance the resolution of the image and improve the visual effect of the image, a method of image quality enhancement based on bilinear interpolation and wavelet transformation is proposed. The algorithm first enhances the image by histogram equalization and bilinear interpolation to preserve better detail quality, and then perform wavelet transform on the histogram equalized image and...Show More
Boundary-Area Enhanced Module for Instance Segmentation
2022 IEEE International Conference on Image Processing (ICIP)
Year: 2022 | Conference Paper |
Cited by: Papers (1)
Segmenting instances is a challenging task, especially for precise boundary segmentation. Modern methods always predict instance masks with imprecise boundaries due to the fact they do not pay enough attention to boundary information. To address this problem, we propose a conceptually simple yet effective attention-based module for better boundary segmentation, termed boundary-area enhanced module...Show More
Scene-Adaptive 3D Semantic Segmentation Based on Multi-Level Boundary-Semantic-Enhancement for Intelligent Vehicles
3D semantic segmentation is a key technology of scene understanding in the self-driving field, which remains challenging problems. Recent 3D segmentation methods have achieved competitive results in indoor or typical urban traffic scenes. However, in complex and changeable scenarios where structured features are sparse and irregular, few of these methods could achieve well segmentation results, es...Show More
Three-Dimensional Nonlinear Invisible Boundary Detection
The human vision system can discriminate regions which differ up to the second-order statistics only. We present an algorithm designed to reveal "hidden" boundaries in gray level images, by computing gradients in higher order statistics of the data. We demonstrate it by applying it to the identification of possible "hidden" boundaries of glioblastomas as manifest themselves in three-dimensional (3...Show More
A Multiscale and Multipath Network With Boundary Enhancement for Building Footprint Extraction From Remotely Sensed Imagery
Due to its high efficiency and low cost, automatic extraction of building footprints from remotely sensed imagery has long been an important means to obtain building footprint information, which can be easily implemented using existing fully convolutional network (FCN)-based methods. However, such methods suffer from imperfections and thus accurately extracting building footprints from remotely se...Show More
Gradient vector flow fast geometric active contours
In this paper, we propose an edge-driven bidirectional geometric flow for boundary extraction. To this end, we combine the geodesic active contour flow and the gradient vector flow external force for snakes. The resulting motion equation is considered within a level set formulation, can deal with topological changes and important shape deformations. An efficient numerical schema is used for the fl...Show More
Real time image enhancement and segmentation for sign/text detection
Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429)
Year: 2003 | Conference Paper |
Cited by: Papers (5)
A personal computer(pc)-based low-cost visual system that can detect and extract text regions in visual signs in the scene and recognize them for location awareness is described. It employs fast image enhancement and segmentation methods based on symmetric neighborhood filter and hierarchical-connected component analysis to extract written information on signboards, which appears in the scene. Our...Show More
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