- 标题
- 摘要
- 关键词
- 实验方案
- 产品
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Automatic Flare Spot Artifact Detection and Removal in Photographs
摘要： Flare spot is one type of ?are artifact caused by a number of conditions, frequently provoked by one or more high-luminance sources within or close to the camera ?eld of view. When light rays coming from a high-luminance source reach the front element of a camera, it can produce intra-re?ections within camera elements that emerge at the ?lm plane forming non-image information or ?are on the captured image. Even though preventive mechanisms are used, artifacts can appear. In this paper, we propose a robust computational method to automatically detect and remove ?are spot artifacts. Our contribution is threefold: ?rstly, we propose a characterization which is based on intrinsic properties that a ?are spot is likely to satisfy; secondly, we de?ne a new con?dence measure able to select ?are spots among the candidates; and, ?nally, a method to accurately determine the ?are region is given. Then, the detected artifacts are removed by using exemplar-based inpainting. We show that our algorithm achieves top-tier quantitative and qualitative performance.
关键词： Mathematical morphology,Inpainting,Flare artifacts,Flare spot,Con?dence measure
更新于2025-09-23 15:21:01
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[IEEE 2018 International Conference On Advances in Communication and Computing Technology (ICACCT) - Sangamner, India (2018.2.8-2018.2.9)] 2018 International Conference On Advances in Communication and Computing Technology (ICACCT) - Image Inpainting Based on Image Mapping and Object Removal Using Semi-Automatic Method
摘要： The image inpainting process selects the object manually. We are dealing with semi-automatic image inpainting algorithm. In semi-automatic image inpainting method user manually gives an outline of an object which we want to remove or the damaged region which we want to recover and an inpainting algorithm will automatically fill that region. In the proposed method, segmentation is used for removing unwanted regions from the image. As the hole in the image to be inpainted is an unendorsed method, we are totaling the pixel in the holes by means of spatial contextual correspondences. The main importance of our approach is to utilize association of a pixel with its neighbors to get precise smoothness over the inpainted image. The region to be inpainted can be chosen initially by performing the segmentation approach. The region growing method is applied thus segmenting the regions. The multiple and single region selection is also applicable. Now the region to be inpainted is termed as a hole in the given image which is removed from the image. The omitted region can be packed using the correlation made by the information supplied by the neighbors and its information.
关键词： Texture and Structure Inpainting,Alternative Direction Method,Semiautomatic Inpainting,Wavelet Based Inpainting,Exemplar Based Inpainting
更新于2025-09-11 14:15:04
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[IEEE 2018 IEEE 20th International Workshop on Multimedia Signal Processing (MMSP) - Vancouver, BC, Canada (2018.8.29-2018.8.31)] 2018 IEEE 20th International Workshop on Multimedia Signal Processing (MMSP) - Sparse Hartley Modeling for Fast Image Extrapolation
摘要： In many cases, image and video signal processing demands for high quality extrapolation algorithms, e.g., to solve inpainting problems or to increase image resolution. Indeed, a high computational load goes hand in hand with a good reconstruction quality as expensive models are calculated to estimate the missing data. To overcome this, the high-speed sparse Hartley modeling is introduced in this paper. This algorithm is based on Frequency Selective Extrapolation. In contrast to that, the model generation is carried out in the Hartley domain to exploit its real-valued transform properties. Due to this, it is possible to reduce the computational complexity significantly as no complex-valued arithmetic operations have to be conducted. In other words, a slightly higher reconstruction quality is obtained, while the proposed method is more than three times faster than the competing Frequency Selective Extrapolation.
关键词： Sparse Modeling,Inpainting,Signal Extrapolation,Error Concealment
更新于2025-09-11 14:15:04
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[IEEE 2018 2nd IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC) - Xi'an (2018.5.25-2018.5.27)] 2018 2nd IEEE Advanced Information Management,Communicates,Electronic and Automation Control Conference (IMCEC) - Depth Inpainting Algorithm of RGB-D Camera Combined with Color Image
摘要： In order to solve the problem of poor quality of deep image of RGB-D cameras, a depth inpainting algorithm based on combined color image information is proposed. First of all, In order to align color image with deep image, the RGB-D camera is calibrated by the Zhang's demarcation method. Then, it is marked as hollow and noise based on the size of the connected domain which depth value is zero in the depth image. Using the domain variance method to classify the hollows. The domain similarity and color consistency algorithm are proposed for two types of hollows to be repaired. Finally, the local bilateral filtering method is used to remove the noise and ensure the original depth value of the depth information as much as possible. The experimental results show that the repaired depth image can effectively repair the hollow, which is used for the target 3D positioning, and the positioning accuracy is higher.
关键词： hollows classification,RGB-D camera,domain similarity,depth image inpainting,color consistency
更新于2025-09-11 14:15:04
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[IEEE 2018 IEEE 3rd International Conference on Image, Vision and Computing (ICIVC) - Chongqing (2018.6.27-2018.6.29)] 2018 IEEE 3rd International Conference on Image, Vision and Computing (ICIVC) - Crack Detection and Images Inpainting Method for Thai Mural Painting Images
摘要： Thailand frescoes are an important art heritage in the world. However, the erosion of history has resulted in the color loss, stain and scratches of many mural paintings. How to repair the Thailand murals has become an urgent problem. It is an important scientific problem to use computer image inpainting technology to simulate and eliminate the missing pixels in the murals and obtain beautiful and intact murals. In this paper, a computer aided semi-automatic repair framework is proposed by combining a scratch detection procedure and a model optimization based inpainting procedure. To this end, we propose a scratch semi-automatic detection method. In this method, a small number of seed points are given by users, and the location of scratches is then computed by region growing method and morphological operation. After that, the pixel filling and color restoration in the missing region can be obtained by using different variational inpainting methods. The experiment shows that the proposed method is effective.
关键词： seed region growing,thai mural painting,images inpainting,images restroration,crack detection
更新于2025-09-10 09:29:36
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[IEEE 2018 25th IEEE International Conference on Image Processing (ICIP) - Athens, Greece (2018.10.7-2018.10.10)] 2018 25th IEEE International Conference on Image Processing (ICIP) - Closed-Form Solution of Simultaneous Denoising and Hole Filling of Depth Image
摘要： This paper presents a novel Time-of-Flight (ToF) depth recovery algorithm minimizing a new quadratic energy function utilizing depth and infrared data. The proposed energy function consists of a filtering term and a reconstruction term to remove noise and fill holes simultaneously in a depth image. In the filtering term, a new multilateral weight is introduced by fully using available spatial, depth, and infrared information. In the reconstruction term, a Poisson equation for reconstructing a depth image from its gradients is used whereas the depth gradients inside hole regions are interpolated with the proposed infrared-guided moving least squares. The recovered depth data can be obtained by solving a sparse linear system derived from minimizing the proposed energy function. Experimental results demonstrate that the proposed algorithm provides good depth recovery performance without introducing texture copy or blur artifacts compared to the existing methods.
关键词： hole filling,inpainting,time-of-flight depth,denoising,quadratic energy function,Depth recovery
更新于2025-09-10 09:29:36
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Diffusion and inpainting of reflectance and height LiDAR orthoimages
摘要： This paper presents a fully automatic framework for the generation of so-called LiDAR orthoimages (i.e. 2D raster maps of the reflectance and height LiDAR samples) from ground-level LiDAR scans. Beyond the Digital Surface Model (DSM or heightmap) provided by the height orthoimage, the proposed method cost-effectively generates a reflectance channel that is easily interpretable by human operators without relying on any optical acquisition, calibration and registration. Moreover, it commonly achieves very high resolutions (1 cm2 per pixel), thanks to the typical sampling density of static or mobile LiDAR scans. Compared to orthoimages generated from aerial datasets, the proposed LiDAR orthoimages are acquired from the ground level and thus do not suffer occlusions from hovering objects (trees, tunnels and bridges), enabling their use in a number of urban applications such as road network monitoring and management, as well as precise mapping of the public space e.g. for accessibility applications or management of underground networks. Its generation and usability however faces two issues: (i) the inhomogeneous sampling density of LiDAR point clouds and (ii) the presence of masked areas (holes) behind occluders, which include, in a urban context, cars, tree trunks, poles or pedestrians (i) is addressed by first projecting the point cloud on a 2D-pixel grid so as to generate sparse and noisy reflectance and height images from which dense images estimated using a joint anisotropic diffusion of the height and reflectance channels. (ii) LiDAR shadow areas are detected by analysing the diffusion results so that they can be inpainted using an examplar-based method, guided by an alignment prior. Results on real mobile and static acquisition data demonstrate the effectiveness of the proposed pipeline in generating a very high resolution LiDAR orthoimage of reflectance and height while filling holes of various sizes in a visually satisfying way.
关键词： height,inpainting,reflectance,orthoimages,LiDAR,urban applications,diffusion
更新于2025-09-10 09:29:36
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Directional Sinogram Inpainting for Limited Angle Tomography
摘要： In this paper we propose a new joint model for the reconstruction of tomography data under limited angle sampling regimes. In many applications of Tomography, e.g. Electron Microscopy and Mammography, physical limitations on acquisition lead to regions of data which cannot be sampled. Depending on the severity of the restriction, reconstructions can contain severe, characteristic, artefacts. Our model aims to address these artefacts by inpainting the missing data simultaneously with the reconstruction. Numerically, this problem naturally evolves to require the minimisation of a non-convex and non-smooth functional so we review recent work in this topic and extend results to fit an alternating (block) descent framework. We perform numerical experiments on two synthetic datasets and one Electron Microscopy dataset. Our results show consistently that the joint inpainting and reconstruction framework can recover cleaner and more accurate structural information than the current state of the art methods.
关键词： Joint Model,Electron Microscopy,Limited Angle Tomography,Non-convex Optimization,Directional Sinogram Inpainting
更新于2025-09-09 09:28:46
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[IEEE 2018 25th IEEE International Conference on Image Processing (ICIP) - Athens, Greece (2018.10.7-2018.10.10)] 2018 25th IEEE International Conference on Image Processing (ICIP) - Adaptive Specular Reflection Detection and Inpainting in Colonoscopy Video Frames
摘要： Colonoscopy video frames might be contaminated by bright spots with unsaturated values known as specular reflection. Detection and removal of such reflections could enhance the quality of colonoscopy images and facilitate diagnosis procedure. In this paper, we propose a novel two-phase method for this purpose, consisting of detection and removal phases. In the detection phase, we employ both HSV and RGB color space information for segmentation of specular reflections. We first train a non-linear SVM for selecting a color space based on statistical image features extracted from each channel of the color spaces. Then, a cost function for detection of specular reflections is introduced. In the removal phase, we propose a two-step inpainting method which consists of appropriate replacement patch selection and removal of the blockiness effects. The proposed method is evaluated by testing on an available colonoscopy image database where accuracy and Dice score of 99.68% and 71.79% are achieved respectively.
关键词： Image Inpainting,Medical Image Analysis,Specular Reflection Detection
更新于2025-09-09 09:28:46