Marco Mignacca,Simone Brugiapaglia,Jason J Bramburger
Marco Mignacca
Dynamic mode decomposition (DMD) is a numerical method that seeks to fit time-series data to a linear dynamical system. In doing so, DMD decomposes dynamic data into spatially coherent modes that evolve in time according to exponential grow...
Hadi Hadizadeh,Ivan V Bajić
Hadi Hadizadeh
Video coding has traditionally been developed to support services such as video streaming, videoconferencing, digital TV, and so on. The main intent was to enable human viewing of the encoded content. However, with the advances in deep neur...
Subjective performance evaluation of bitrate allocation strategies for MPEG and JPEG Pleno point cloud compression [0.03%]
比特率分配策略在MPEG和JPEG Pleno点云压缩中的主观性能评估
Davi Lazzarotto,Michela Testolina,Touradj Ebrahimi
Davi Lazzarotto
The recent rise in interest in point clouds as an imaging modality has motivated standardization groups such as JPEG and MPEG to launch activities aiming at developing compression standards for point clouds. Lossy compression usually introd...
Fast Graph Partitioning Active Contours for Image Segmentation Using Histograms [0.03%]
基于直方图的快速图像分割图形分区活动轮廓法
Sumit K Nath,Kannappan Palaniappan
Sumit K Nath
We present a method to improve the accuracy and speed, as well as significantly reduce the memory requirements, for the recently proposed Graph Partitioning Active Contours (GPACs) algorithm for image segmentation in the work of Sumengen an...
Automatic kidney segmentation using 2.5D ResUNet and 2.5D DenseUNet for malignant potential analysis in complex renal cyst based on CT images [0.03%]
基于CT图像的复杂肾囊肿恶性潜能分析的自动肾脏分割（2.5D ResUNet和2.5D DenseUNet）
Parin Kittipongdaja,Thitirat Siriborvornratanakul
Parin Kittipongdaja
Bosniak renal cyst classification has been widely used in determining the complexity of a renal cyst. However, it turns out that about half of patients undergoing surgery for Bosniak category III, take surgical risks that reward them with n...
Yuewei Liu,Weiping Lu
Yuewei Liu
We present a new image restoration method by combining iterative VanCittert algorithm with noise reduction modeling. Our approach enables decoupling between deblurring and denoising during the restoration process, so allows any well-establi...
Patch-based models and algorithms for image denoising: a comparative review between patch-based images denoising methods for additive noise reduction [0.03%]
基于补丁的图像去噪模型和算法综述：加性噪声降低的基于补丁的图像去噪方法比较回顾
Monagi H Alkinani,Mahmoud R El-Sakka
Monagi H Alkinani
Background: Digital images are captured using sensors during the data acquisition phase, where they are often contaminated by noise (an undesired random signal). Such noise can also be produced during transmission or by p...
Mahmud Hasan,Mahmoud R El-Sakka
Mahmud Hasan
Image denoising is considered a salient pre-processing step in sophisticated imaging applications. Over the decades, numerous studies have been conducted in denoising. Recently proposed Block matching and 3D (BM3D) filtering added a new dim...
Ehsan Rahimi,Chris Joslin
Ehsan Rahimi
3D video applications are growing more common as communication technology becomes more predominant nowadays. With such increasing demand for the 3D multimedia services in either the wired or wireless networks, robust methods of video stream...
Image denoising with morphology- and size-adaptive block-matching transform domain filtering [0.03%]
形态学和大小自适应块匹配变换域图像去噪算法
Yingkun Hou,Dinggang Shen
Yingkun Hou
BM3D is a state-of-the-art image denoising method. Its denoised results in the regions with strong edges can often be better than in the regions with smooth or weak edges, due to more accurate block-matching for the strong-edge regions. So ...