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Journal articles on the topic '3D image interpolation'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

HARDY, ALEXANDRE, and WILLI-HANS STEEB. "HARMONIC INTERPOLATION FOR IMAGE COMPRESSION." International Journal of Image and Graphics 06, no. 04 (2006): 657–75. http://dx.doi.org/10.1142/s0219467806002434.

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Harmonic interpolation has been shown to produce smooth interpolating curves when applied to points in 2D or 3D space. The techniques used in harmonic interpolation can be applied equally well to image data. In this paper, harmonic interpolation is used to interpolate the colors in an image. We identify certain properties of harmonic interpolation which allows us to transform the image into another image more suitable for conventional compression techniques to be applied. The properties identified also allow for further compression of the image in addition to conventional compression technique

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Kanberoglu, Berkay, Dhritiman Das, Priya Nair, Pavan Turaga, and David Frakes. "An Optical Flow-Based Approach for Minimally Divergent Velocimetry Data Interpolation." International Journal of Biomedical Imaging 2019 (February 3, 2019): 1–14. http://dx.doi.org/10.1155/2019/9435163.

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Three-dimensional (3D) biomedical image sets are often acquired with in-plane pixel spacings that are far less than the out-of-plane spacings between images. The resultant anisotropy, which can be detrimental in many applications, can be decreased using image interpolation. Optical flow and/or other registration-based interpolators have proven useful in such interpolation roles in the past. When acquired images are comprised of signals that describe the flow velocity of fluids, additional information is available to guide the interpolation process. In this paper, we present an optical-flow bas

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Zhou, Zhen Huan. "Design and Implementation of Neurosurgery Navigation System." Journal of Biomimetics, Biomaterials and Biomedical Engineering 29 (October 2016): 81–88. http://dx.doi.org/10.4028/www.scientific.net/jbbbe.29.81.

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Neurosurgery navigation system consists of an image workstation, infrared optical positioning device and surgical instrument components. The system can use the patient CT/MRI images to develop preoperative surgical plan, choose the best surgical approach, in surgery it can rely on the three-dimensional patient images and optical locator, avoiding critical organizations and major functional areas, to make surgery smaller incisions, more thorough, more secure. The development consists of the following steps: image group management, displaying three orthogonal plane (transverse, sagittal, coronal

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Russ, John C. "Automatic vs computer-assisted 3D reconstruction." Proceedings, annual meeting, Electron Microscopy Society of America 50, no. 2 (1992): 1050–51. http://dx.doi.org/10.1017/s0424820100129887.

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Images from light or electron microscopy of serial sections must be aligned and corrected for distortion before use in three-dimensional reconstruction. As computer rendering supplants physical modelling, algorithms are desired for automatic alignment and rectification, requiring rotation and rubber-sheeting or warping. A new image can be constructed from each digitized original with polynomial equations relating the pixel coordinates in the new image to those in the original. Interpolation between the pixel values is used to prevent aliasing of edges. Calculating the equation coefficients req

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Jiao, Yuzhong, Kayton Wai Keung Cheung, Mark Ping Chan Mok, and Yiu Kei Li. "Spatial Distance-based Interpolation Algorithm for Computer Generated 2D+Z Images." Electronic Imaging 2020, no. 2 (2020): 140–1. http://dx.doi.org/10.2352/issn.2470-1173.2020.2.sda-140.

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Computer generated 2D plus Depth (2D+Z) images are common input data for 3D display with depth image-based rendering (DIBR) technique. Due to their simplicity, linear interpolation methods are usually used to convert low-resolution images into high-resolution images for not only depth maps but also 2D RGB images. However linear methods suffer from zigzag artifacts in both depth map and RGB images, which severely affects the 3D visual experience. In this paper, spatial distance-based interpolation algorithm for computer generated 2D+Z images is proposed. The method interpolates RGB images with

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Moraes, Thiago, Paulo Amorim, Jorge Vicente Da Silva, and Helio Pedrini. "Medical image interpolation based on 3D Lanczos filtering." Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization 8, no. 3 (2019): 294–300. http://dx.doi.org/10.1080/21681163.2019.1683469.

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Guo, Jun-Feng, Yuan-Long Cai, and Yu-Ping Wang. "Morphology-based interpolation for 3D medical image reconstruction." Computerized Medical Imaging and Graphics 19, no. 3 (1995): 267–79. http://dx.doi.org/10.1016/0895-6111(95)00007-d.

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Chin-Hsing, Chen, Lee Ann-Shu, Lee Jiann-Der, and W. H. Yang. "3D image reconstruction of bladder by nonlinear interpolation." Mathematical and Computer Modelling 22, no. 8 (1995): 61–72. http://dx.doi.org/10.1016/0895-7177(95)00155-u.

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MATSUSHITA, YASUYUKI, STEPHEN LIN, HEUNG-YEUNG SHUM, XIN TONG, and SING BING KANG. "LIGHTING AND SHADOW INTERPOLATION USING INTRINSIC LUMIGRAPHS." International Journal of Image and Graphics 04, no. 04 (2004): 585–604. http://dx.doi.org/10.1142/s0219467804001555.

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Densely-sampled image representations such as the light field or Lumigraph have been effective in enabling photorealistic image synthesis. Unfortunately, lighting interpolation with such representations has not been shown to be possible without the use of accurate 3D geometry and surface reflectance properties. In this paper, we propose an approach to image-based lighting interpolation that is based on estimates of geometry and shading from relatively few images. We decompose light fields captured at different lighting conditions into intrinsic images (reflectance and illumination images), and

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Atoui, Hussein, Serge Miguet, and David Sarrut. "A FAST MORPHING-BASED INTERPOLATION FOR MEDICAL IMAGES: APPLICATION TO CONFORMAL RADIOTHERAPY." Image Analysis & Stereology 25, no. 2 (2011): 95. http://dx.doi.org/10.5566/ias.v25.p95-103.

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A method is presented for fast interpolation between medical images. The method is intended for both slice and projective interpolation. It allows offline interpolation between neighboring slices in tomographic data. Spatial correspondence between adjacent images is established using a block matching algorithm. Interpolation of image intensities is then carried out by morphing between the images. The morphing-based method is compared to standard linear interpolation, block-matching-based interpolation and registrationbased interpolation in 3D tomographic data sets. Results show that the propos

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Pan, Mei-Sen, Fen Zhang, Qiu-Sheng Rong, Hui-Can Zhou, and Fang-Yan Nie. "RESEARCH ON ROBUSTNESS OF THE MUTUAL INFORMATION SIMILARITY METRIC FOR REGISTRATION OF MEDICAL IMAGES." Biomedical Engineering: Applications, Basis and Communications 23, no. 06 (2011): 479–91. http://dx.doi.org/10.4015/s1016237211002827.

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For the past few years, the medical image registration technology has made rapid and significant progress, and has been extensively applied for the 2D/3D medical image processing. However, the robustness of the similarity metric in the medical image registration is rarely studied. In this paper, the mutual information-based registration technology is introduced and the concept of the robustness of the similarity metric is defined. The robustness of the mutual information similarity metric is analyzed and discussed from three aspects such as interpolation methods, image data loss and noise corr

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Alfaqheri, Taha, Akuha Solomon Aondoakaa, Mohammad Rafiq Swash, and Abdul Hamid Sadka. "Low-delay single holoscopic 3D computer-generated image to multiview images." Journal of Real-Time Image Processing 17, no. 6 (2020): 2015–27. http://dx.doi.org/10.1007/s11554-020-00991-y.

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Abstract Due to the nature of holoscopic 3D (H3D) imaging technology, H3D cameras can capture more angular information than their conventional 2D counterparts. This is mainly attributed to the macrolens array which captures the 3D scene with slightly different viewing angles and generates holoscopic elemental images based on fly’s eyes imaging concept. However, this advantage comes at the cost of decreasing the spatial resolution in the reconstructed images. On the other hand, the consumer market is looking to find an efficient multiview capturing solution for the commercially available autost

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MUKHERJEE, DIPTI PRASAD, and NILANJAN RAY. "CONTOUR INTERPOLATION USING LEVEL-SET ANALYSIS." International Journal of Image and Graphics 12, no. 01 (2012): 1250004. http://dx.doi.org/10.1142/s0219467812500040.

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We propose a novel approach to generate intermediate contours given a sequence of object contours. The proposal unifies shape features through contour curvature analysis and motion between the contours through optic flow analysis. The major contribution of this work is in integrating this shape and image intensity-based contour interpolation scheme in a level-set framework. The interpolated contours between an initial and a target contour act as missing link and establish a path along which contour deformation has taken place. We have shown that for different application domains such as 3D org

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Zhou, Yue, and Jia Xin Chen. "Medical Image Interpolation Algorithm Based on the Organization of Correlation." Applied Mechanics and Materials 513-517 (February 2014): 3744–49. http://dx.doi.org/10.4028/www.scientific.net/amm.513-517.3744.

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According to the problem such as blurred border of images and lower efficiency caused by present interpolation methods, an interslice interpolation based on the relativity for medical image is presented in this paper. This algorithm makes good use of voxel relativity and structure relativity and then the different methods are adopted to interpolate the different points, In addition, error checkout is introduced to check the mismatching points.The experiments show that the proposed algorithm has less computational complexity and improves the quality of image, at the same time, the result can be

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WANG, YONGMEI MICHELLE, JINGDAN ZHANG, ZHUNPING ZHANG, and BAINING GUO. "DIRECTIONAL COHERENCE INTERPOLATION FOR THREE-DIMENSIONAL GRAY-LEVEL IMAGES." International Journal of Image and Graphics 04, no. 04 (2004): 535–61. http://dx.doi.org/10.1142/s0219467804001531.

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A novel three-dimensional gray-level interpolation method called the Directional Coherence Interpolation (DCI) is presented in the paper. The principal advantage of the proposed approach is that it leads to significantly higher visual quality in 3D rendering when compared with traditional image interpolation methods. The basis of DCI is a form of directional image-space coherence. DCI interpolates the missing image data along the maximum coherence directions (MCD), which are estimated from the local image intensity yet constrained by a generic smoothness term. In order to further improve both

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Han, Yue Mei. "Study on 3D Model Reconstruction of Human Knee Joint Based on MRI." Applied Mechanics and Materials 333-335 (July 2013): 934–37. http://dx.doi.org/10.4028/www.scientific.net/amm.333-335.934.

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Reconstruction of a 3D model for human knee joint is the basic step for its kinematics and dynamics analysis. To make further research on knee joint modeling, we present a new method to reconstruct 3D knee joint models based on magnetic resonance image (MRI). This method consists of steps as pretreatment of the images, the region growing for segmentation and the contour interpolation or the grey value interpolation and so on. The resulting 3D knee joint model are used for dynamics analysis of human knee joint after being imported into the finite-element platform which includes the tibia, the f

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Abma, Ray, and Nurul Kabir. "3D interpolation of irregular data with a POCS algorithm." GEOPHYSICS 71, no. 6 (2006): E91—E97. http://dx.doi.org/10.1190/1.2356088.

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Seismic surveys generally have irregular areas where data cannot be acquired. These data should often be interpolated. A projection onto convex sets (POCS) algorithm using Fourier transforms allows interpolation of irregularly populated grids of seismic data with a simple iterative method that produces high-quality results. The original 2D image restoration method, the Gerchberg-Saxton algorithm, is extended easily to higher dimensions, and the 3D version of the process used here produces much better interpolations than typical 2D methods. The only parameter that makes a substantial difference

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Young, Hong Tsu, and Wei Yen Lin. "3D Micro-Scale Profile Measuring System." Key Engineering Materials 364-366 (December 2007): 394–99. http://dx.doi.org/10.4028/www.scientific.net/kem.364-366.394.

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An optical non-contact measurement system for micro-scale 3D profiles is developed and analyzed in this research. The core concept of the system is based on Shape-from-Focus method. The methodology and the process of the measurement will be explained in this paper. Briefly, corresponding digital images were taken at different heights with predefined step intervals. The properties of images were enhanced by image processing techniques including discrete Gaussian filtering, histogram equalization and high-boost filtering. Finally, the degree of the focused image was quantified by using Sum-Modif

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Mota, Ana M., Matthew J. Clarkson, Pedro Almeida, and Nuno Matela. "Optimization of Breast Tomosynthesis Visualization through 3D Volume Rendering." Journal of Imaging 6, no. 7 (2020): 64. http://dx.doi.org/10.3390/jimaging6070064.

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3D volume rendering may represent a complementary option in the visualization of Digital Breast Tomosynthesis (DBT) examinations by providing an understanding of the underlying data at once. Rendering parameters directly influence the quality of rendered images. The purpose of this work is to study the influence of two of these parameters (voxel dimension in z direction and sampling distance) on DBT rendered data. Both parameters were studied with a real phantom and one clinical DBT data set. The voxel size was changed from 0.085 × 0.085 × 1.0 mm3 to 0.085 × 0.085 × 0.085 mm3 using ten interpo

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Wu, Feng He, Jin Fen Wang, Jun Wang, and Yu Bo Ren. "3D Surface Reconstruction from Single 2D Image." Key Engineering Materials 522 (August 2012): 886–90. http://dx.doi.org/10.4028/www.scientific.net/kem.522.886.

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The image-based 3D reconstruction technique is an important method of 3D data passive acquired in computer vision. Aimed at the limitation of traditional SFS based 3D surface reconstruction method, a combined image-based 3D surface reconstruction method is given in this paper. Firstly, the pretreatment method of gradation is applied to convert the input color image to 256 gray image; secondly, shape from shading method is applied to recover the 3D profile of object; finally, the B-spline technique is adopted to reconstruct the model of surface and improve the resolution of surface. The key tec

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Madej, Ł., M. Mojżeszko, J. Chrapoński, S. Roskosz, and J. Cwajna. "Digital Material Representation Model of Porous Microstructure Based on 3D Reconstruction Algorithm." Archives of Metallurgy and Materials 62, no. 2 (2017): 563–69. http://dx.doi.org/10.1515/amm-2017-0083.

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AbstractDevelopment of the Digital Material Representation (DMR) model, based on 3D reconstruction algorithm and serial sectioning, is the main goal of the present paper. Details on the serial sectioning and image processing algorithms are presented first. Serial sectioning is realized on the basis of light microscopy (LM). Then concept of 3D reconstruction and developed algorithms are presented. Two approaches, based on shape coefficients and the flood fill algorithms, are developed to identify corresponding features on subsequent 2D images. Then, the interpolation algorithm to reconstruct 3D

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Tang, Yunyi, and Yuanpeng Zhu. "Image Zooming Based on Two Classes of C1-Continuous Coons Patches Construction with Shape Parameters over Triangular Domain." Symmetry 12, no. 4 (2020): 661. http://dx.doi.org/10.3390/sym12040661.

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Image interpolation is important in image zooming. To improve the quality of image zooming, in this work, we proposed a class of rational quadratic trigonometric Hermite functions with two shape parameters and two classes of C 1 -continuous Coons patches constructions over a triangular domain by improved side–side method and side–vertex method. Altering the values of shape parameters can adjust the interior shape of the triangular Coons patch without influencing the function values and partial derivatives of the boundaries. In order to deal with the problem of well-posedness in image zooming,

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Sang, Qiang, and Jian-Zhou Zhang. "3D image interpolation based on anisotropic diffusion of feature point correspondence." International Journal of Imaging Systems and Technology 23, no. 4 (2013): 338–45. http://dx.doi.org/10.1002/ima.22069.

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Dicke, Elisa, Andreas Wachter, and Werner Nahm. "Estimation of the interpolation error of a three-step rotation algorithm using recorded images with rotated test pattern as ground truth." Current Directions in Biomedical Engineering 3, no. 2 (2017): 555–58. http://dx.doi.org/10.1515/cdbme-2017-0186.

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AbstractNowadays, the surgical microscope is the goldstandard for microsurgical procedures. Additional functionalities such as surgical navigation, data injection or imageoverlay are providing additional valuable information to the surgeon. For substituting the conventional optical system by a fully-digital multi-camera setup the three dimensional (3D) reconstruction of the scenery in the field of view is required. However, for in camera-based systems, an exact alignment of the cameras is a challenging task. Therefore, a final adjustment through a digital image rotation becomes necessary. Even

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Huang, Wei, and Yibin Zheng. "MMSE Reconstruction for 3D Freehand Ultrasound Imaging." International Journal of Biomedical Imaging 2008 (2008): 1–8. http://dx.doi.org/10.1155/2008/274164.

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The reconstruction of 3D ultrasound (US) images from mechanically registered, but otherwise irregularly positioned, B-scan slices is of great interest in image guided therapy procedures. Conventional 3D ultrasound algorithms have low computational complexity, but the reconstructed volume suffers from severe speckle contamination. Furthermore, the current method cannot reconstruct uniform high-resolution data from several low-resolution B-scans. In this paper, the minimum mean-squared error (MMSE) method is applied to 3D ultrasound reconstruction. Data redundancies due to overlapping samples as

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Mahmoudzadeh, Amir Pasha, and Nasser H. Kashou. "Evaluation of Interpolation Effects on Upsampling and Accuracy of Cost Functions-Based Optimized Automatic Image Registration." International Journal of Biomedical Imaging 2013 (2013): 1–19. http://dx.doi.org/10.1155/2013/395915.

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Interpolation has become a default operation in image processing and medical imaging and is one of the important factors in the success of an intensity-based registration method. Interpolation is needed if the fractional unit of motion is not matched and located on the high resolution (HR) grid. The purpose of this work is to present a systematic evaluation of eight standard interpolation techniques (trilinear, nearest neighbor, cubic Lagrangian, quintic Lagrangian, hepatic Lagrangian, windowed Sinc, B-spline 3rd order, and B-spline 4th order) and to compare the effect of cost functions (least

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Kim, Soohyeon, Sooahm Rhee, and Taejung Kim. "Digital Surface Model Interpolation Based on 3D Mesh Models." Remote Sensing 11, no. 1 (2018): 24. http://dx.doi.org/10.3390/rs11010024.

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A digital surface model (DSM) is an important geospatial infrastructure used in various fields. In this paper, we deal with how to improve the quality of DSMs generated from stereo image matching. During stereo image matching, there are outliers due to mismatches, and non-matching regions due to match failure. Such outliers and non-matching regions have to be corrected accurately and efficiently for high-quality DSM generation. This process has been performed by applying a local distribution model, such as inverse distance weight (IDW), or by forming a triangulated irregular network (TIN). How

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Yang, Yong Chen, and Xiang Dong Gao. "Study of 3D Reconstruction of Laser Welding Pool Surface Based on Shape from Shading." Applied Mechanics and Materials 201-202 (October 2012): 344–47. http://dx.doi.org/10.4028/www.scientific.net/amm.201-202.344.

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Shape from shading (SFS) is one of the critical techniques in 3D shape recovery in computer vision. The task of SFS is to reconstruct 3D shape of the visible surface of an object from one single picture using its gray variation. Analyzing the 3D shape of welding pool is important to evaluate the welding quality. During the disk laser welding experiments, a high-power laser was used as the auxiliary illuminant, and a high-speed image acquisition system with infrared filter was applied to capture the welding pools in real time. The slant and tilt of illuminant source were estimated by statistics

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Bi Juntao. "The study on 3D image Thinning Algorithm based on Spatial Wavelet Interpolation." Journal of Convergence Information Technology 8, no. 6 (2013): 120–28. http://dx.doi.org/10.4156/jcit.vol8.issue6.15.

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Lin, W. C., C. C. Liang, and C. T. Chen. "Dynamic elastic interpolation for 3D medical image reconstruction from serial cross sections." IEEE Transactions on Medical Imaging 7, no. 3 (1988): 225–32. http://dx.doi.org/10.1109/42.7786.

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Hunt, Lee, Jon Downton, Scott Reynolds, Scott Hadley, Daniel Trad, and Mark Hadley. "The effect of interpolation on imaging and AVO: A Viking case study." GEOPHYSICS 75, no. 6 (2010): WB265—WB274. http://dx.doi.org/10.1190/1.3475390.

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The use of prestack interpolation prior to prestack migration to improve AVO analysis on image gathers is demonstrated on an exploration play. The interpolation achieves this improvement by reducing migration artifacts. AVO analysis attempts to estimate fundamental information from surface seismic data and likely will be used more frequently if the estimates can be more accurately produced. Land 3D seismic typically has poor and irregular sampling. This poor sampling creates migration noise, which is a material cause of inaccurate AVO estimates. Prestack 5D interpolation is applied prior to pr

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Jian, Li, Feng Jiao Zheng, and Yu Rong Ma. "The Study of Laser Scanning Point Cloud Data Automatic and High-Precision Mosaics Technology." Advanced Materials Research 926-930 (May 2014): 3418–21. http://dx.doi.org/10.4028/www.scientific.net/amr.926-930.3418.

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This paper has proposed a laser scanning point cloud mosaic scheme on the basis of 2D images matching and 3D correspondence feature points refining. This scheme is aimed to solve existing problems in laser scanning point cloud mosaic technology, such as low efficiency,poor accuracy and low automation. Firstly, the 2D images were generated from the derivative information by an interpolation algorithm. Then 2D correspondence feature points were obtained through GPU acceleration SIFT image matching and eliminates gross errors. In order to improve the accuracy of mosaic,the correspondence feature

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Shin, Dong-Hak, and Hoon Yoo. "Computational integral imaging reconstruction method of 3D images using pixel-to-pixel mapping and image interpolation." Optics Communications 282, no. 14 (2009): 2760–67. http://dx.doi.org/10.1016/j.optcom.2009.04.008.

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Doshi, T., G. Di Caterina, J. Soraghan, et al. "Combining interpolation and 3D level set method (I+3DLSM) for medical image segmentation." Electronics Letters 52, no. 8 (2016): 592–94. http://dx.doi.org/10.1049/el.2015.3959.

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Shin, Dong-Hak, and Hoon Yoo. "Image quality enhancement in 3D computational integral imaging by use of interpolation methods." Optics Express 15, no. 19 (2007): 12039. http://dx.doi.org/10.1364/oe.15.012039.

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Araújo, Rafael L. de, and Reynam Da C. Pestana. "REVERSE TIME MIGRATION BY INTERPOLATION AND PSEUDO-ANALYTICAL METHODS." Revista Brasileira de Geofísica 32, no. 4 (2014): 753. http://dx.doi.org/10.22564/rbgf.v32i4.541.

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ABSTRACT. Within the seismic method, in order to obtain an accurate image, it is necessary to use some processing techniques, among them the seismic migration. The reverse time migration (RTM) uses the complete wave equation, which implicitly includes multiple arrivals, can image all dips and, therefore, makes it possible to image complex structures. However, its application on 3D pre-stack data is still restricted due to the enormous computational effort required. With recent technological advances and faster computers, 3D pre-stack RTM is being used to address the imaging challenges posed by

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Ibrahim Shujaa, Mohamed, and Ammar Alauldeen Abdulmajeed. "Implementing bezier surface interpolation and N.N in shape reconstruction and depth estimation of a 2D image." Indonesian Journal of Electrical Engineering and Computer Science 16, no. 3 (2019): 1609. http://dx.doi.org/10.11591/ijeecs.v16.i3.pp1609-1616.

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<p>This paper considers a 2D image depth estimation of an object and reconstructed it into a 3D object image. The 2D image is defined by slices contains asset of points that are located along the object contours and within the object body. The depth of these slices are estimated using the neural network technique (N.N), where five factors (slice length, angle of incident light and illumination of some of point that located along the 2D object, namely control points)are used as inputs to the network the estimated depth of the slice are mapped into a 3D surface using the interpolation tech

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Tan, Weixian, Pingping Huang, Zengshu Huang, Yaolong Qi, and Wenqin Wang. "Three-Dimensional Microwave Imaging for Concealed Weapon Detection Using Range Stacking Technique." International Journal of Antennas and Propagation 2017 (2017): 1–11. http://dx.doi.org/10.1155/2017/1480623.

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Three-dimensional (3D) microwave imaging has been proven to be well suited for concealed weapon detection application. For the 3D image reconstruction under two-dimensional (2D) planar aperture condition, most of current imaging algorithms focus on decomposing the 3D free space Green function by exploiting the stationary phase and, consequently, the accuracy of the final imagery is obtained at a sacrifice of computational complexity due to the need of interpolation. In this paper, from an alternative viewpoint, we propose a novel interpolation-free imaging algorithm based on wavefront reconstr

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Ehrhardt, J., T. Frenzel, D. Säring, et al. "Motion Artifact Reducing Reconstruction of 4D CT Image Data for the Analysis of Respiratory Dynamics." Methods of Information in Medicine 46, no. 03 (2007): 254–60. http://dx.doi.org/10.1160/me9040.

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Summary Objectives: Respiratory motion represents a major problem in radiotherapy of thoracic and abdominal tumors. Methods for compensation require comprehensive knowledge of underlying dynamics. Therefore, 4D (= 3D + t) CT data can be helpful. But modern CT scanners cannot scan a large region of interest simultaneously. So patients have to be scanned in segments. Commonly used approaches for reconstructing the data segments into 4D CT images cause motion artifacts. In orderto reduce the artifacts, a new method for 4D CT reconstruction is presented. The resulting data sets are used to analyze

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Farhadi, Moslem, Amir Hossein Foruzan, Mina Esfandiarkhani, Yen-Wei Chen, and Hongjie Hu. "RECONSTRUCTION OF HIGH-RESOLUTION HEPATIC TUMOR CT IMAGES USING AN AUGMENTATION-BASED SUPER-RESOLUTION TECHNIQUE." Biomedical Engineering: Applications, Basis and Communications 33, no. 04 (2021): 2150026. http://dx.doi.org/10.4015/s1016237221500265.

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Improving the resolution of medical images is crucial in diagnosis, feature extraction, and data retrieval. A significant group of super-resolution algorithms is multi-frame techniques. However, they are not appropriate to medical data since they need several frames of the same scene, which bring a high risk of radiation or require a considerable acquisition time. We propose a new data augmentation technique and employ it in a multi-frame image reconstruction algorithm to improve the resolution of pathologic liver CT images. The input to our algorithm is a 3D CT-scan of the abdominal region. N

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Wang, Jin, Guang Yu Zhu, Guo Dong Lu, Gang Chen, and Dong Liang Zhang. "Research of the Image-Based Fast Design for 3D Toys and Cartoons." Advanced Materials Research 102-104 (March 2010): 45–49. http://dx.doi.org/10.4028/www.scientific.net/amr.102-104.45.

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This paper takes the 2D image of toys and cartoons as reference to assist the amateurs to design 3D models fast and conveniently. A contour deep tracing algorithm is proposed for acquiring the whole contour, and Ferguson interpolation curve is introduced to fit the contours. Taking the control points of Ferguson curves as reference, amateurs can easily sketch curves that fit to the image contours. Decomposing the extracted contours into several feature regions, the users can draw some enclosed component contour curves of the target toys or cartoons, and then adopt proper methods to generate th

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Zhang, Hao, Xiuyan Yang, and Jianwei Ma. "Can learning from natural image denoising be used for seismic data interpolation?" GEOPHYSICS 85, no. 4 (2020): WA115—WA136. http://dx.doi.org/10.1190/geo2019-0243.1.

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We have developed an interpolation method based on the denoising convolutional neural network (CNN) for seismic data. It provides a simple and efficient way to break through the problem of the scarcity of geophysical training labels that are often required by deep learning methods. This new method consists of two steps: (1) training a set of CNN denoisers to learn denoising from natural image noisy-clean pairs and (2) integrating the trained CNN denoisers into the project onto convex set (POCS) framework to perform seismic data interpolation. We call it the CNN-POCS method. This method allevia

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Ayhan and Kwan. "Mastcam Image Resolution Enhancement with Application to Disparity Map Generation for Stereo Images with Different Resolutions." Sensors 19, no. 16 (2019): 3526. http://dx.doi.org/10.3390/s19163526.

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In this paper, we introduce an in-depth application of high-resolution disparity map estimation using stereo images from Mars Curiosity rover’s Mastcams, which have two imagers with different resolutions. The left Mastcam has three times lower resolution as that of the right. The left Mastcam image’s resolution is first enhanced with three methods: Bicubic interpolation, pansharpening-based method, and a deep learning super resolution method. The enhanced left camera image and the right camera image are then used to estimate the disparity map. The impact of the left camera image enhancement is

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Petikam, Lohit, Ken Anjyo, and Taehyun Rhee. "Shading Rig: Dynamic Art-directable Stylised Shading for 3D Characters." ACM Transactions on Graphics 40, no. 5 (2021): 1–14. http://dx.doi.org/10.1145/3461696.

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Despite the popularity of three-dimensional (3D) animation techniques, the style of 2D cel animation is seeing increased use in games and interactive applications. However, conventional 3D toon shading frequently requires manual editing to clean up undesired shadows or add stylistic details based on art direction. This editing is impractical for the frame-by-frame editing in cartoon feature film post-production. For interactive stylised media and games, post-production is unavailable due to real-time constraints, so art-direction must be preserved automatically. For these reasons, artists ofte

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Jonic, S., P. Thévenaz, G. Zheng, L. P. Nolte, and M. Unser. "An Optimized Spline-Based Registration of a 3D CT to a Set of C-Arm Images." International Journal of Biomedical Imaging 2006 (2006): 1–12. http://dx.doi.org/10.1155/ijbi/2006/47197.

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We have developed an algorithm for the rigid-body registration of a CT volume to a set of C-arm images. The algorithm uses a gradient-based iterative minimization of a least-squares measure of dissimilarity between the C-arm images and projections of the CT volume. To compute projections, we use a novel method for fast integration of the volume along rays. To improve robustness and speed, we take advantage of a coarse-to-fine processing of the volume/image pyramids. To compute the projections of the volume, the gradient of the dissimilarity measure, and the multiresolution data pyramids, we us

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Wang, Li Fang. "The Improvement of Katsevich Reconstruction Algorithm Based on Cone-Beam CT." Applied Mechanics and Materials 239-240 (December 2012): 1148–51. http://dx.doi.org/10.4028/www.scientific.net/amm.239-240.1148.

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The Katsevich reconstruction algorithm based on cone-beam must compute the derivative of projection data in the reconstruction process, but projection data are discrete and haven’t derivative. So the derivatives of the polynomial interpolation function are as approximation of the derivative of projection data. To verify the effectiveness of this method, 3D Shepp-Logan model is reconstructed by the method and the average gradient is used to measure the clarity of image. The experimental results show that this method enables image clearer and improves image quality

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Kim, Hyun-Koo, Kook-Yeol Yoo, Ju H. Park, and Ho-Youl Jung. "Asymmetric Encoder-Decoder Structured FCN Based LiDAR to Color Image Generation." Sensors 19, no. 21 (2019): 4818. http://dx.doi.org/10.3390/s19214818.

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In this paper, we propose a method of generating a color image from light detection and ranging (LiDAR) 3D reflection intensity. The proposed method is composed of two steps: projection of LiDAR 3D reflection intensity into 2D intensity, and color image generation from the projected intensity by using a fully convolutional network (FCN). The color image should be generated from a very sparse projected intensity image. For this reason, the FCN is designed to have an asymmetric network structure, i.e., the layer depth of the decoder in the FCN is deeper than that of the encoder. The well-known K

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Zhu, Qingsong, Jia Gu, and Yaoqin Xie. "Deformable Image Registration with Inclusion of Autodetected Homologous Tissue Features." Scientific World Journal 2012 (2012): 1–8. http://dx.doi.org/10.1100/2012/913693.

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A novel deformable registration algorithm is proposed in the application of radiation therapy. The algorithm starts with autodetection of a number of points with distinct tissue features. The feature points are then matched by using the scale invariance features transform (SIFT) method. The associated feature point pairs are served as landmarks for the subsequent thin plate spline (TPS) interpolation. Several registration experiments using both digital phantom and clinical data demonstrate the accuracy and efficiency of the method. For the 3D phantom case, markers with error less than 2 mm are

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Tran, Phuong Toan, Ping-Lin Chang, Herbert De Praetere, et al. "3D Catheter Shape Reconstruction Using Electromagnetic and Image Sensors." Journal of Medical Robotics Research 02, no. 03 (2017): 1740009. http://dx.doi.org/10.1142/s2424905x17400098.

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In current practice, fluoroscopy remains the gold standard for guiding surgeons during endovascular catheterization. The poor visibility of anatomical structures and the absence of depth information make accurate catheter localization and manipulation a difficult task. Overexposure to radiation and use of risk-prone contrast agent also compromise surgeons’ and patients’ health. Alternative approaches using embedded electromagnetic (EM) sensors have been developed to overcome the limitations of fluoroscopy-based interventions. As only a finite number of sensors can be integrated within a cathet

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Xu, Ping, Bingqiang Chen, Jingcheng Zhang, Lingyun Xue, and Lei Zhu. "A new HSI denoising method via interpolated block matching 3D and guided filter." PeerJ 9 (July 27, 2021): e11642. http://dx.doi.org/10.7717/peerj.11642.

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A new hyperspectral images (HSIs) denoising method via Interpolated Block-Matching and 3D filtering and Guided Filtering (IBM3DGF) denoising method is proposed. First, inter-spectral correlation analysis is used to obtain inter-spectral correlation coefficients and divide the HSIs into several adjacent groups. Second, high-resolution HSIs are produced by using adjacent three images to interpolate. Third, Block-Matching and 3D filtering (BM3D) is conducted to reduce the noise level of each group; Fourth, the guided image filtering is utilized to denoise HSI of each group. Finally, the inverse i

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