99m-Tc MDP Bone Scan Image Enhancement using Pipeline Application of Dynamic Stochastic Resonance Algorithm and Block-Matching 3D Filter. [PDF]
Pandey AK +7 more
europepmc +1 more source
Block diagram of model-matching control.
Block diagram of model-matching control.
J. L. Vázquez-Gutiérrez (6729224) +6 more
core +1 more source
Fast copy-move forgery detection algorithm based on group SIFT
Aiming at the high computational complexity of the existing copy-move image forgery detection algorithm,a copy-move forgery detection algorithm based on group scale-invariant feature transform (SIFT) was proposed.Firstly,the simple linear iterative ...
Bin XIAO +3 more
doaj +2 more sources
A new HSI denoising method via interpolated block matching 3D and guided filter. [PDF]
Xu P, Chen B, Zhang J, Xue L, Zhu L.
europepmc +1 more source
Preprocessing Pipelines including Block-Matching Convolutional Neural Network for Image Denoising to Robustify Deep Reidentification against Evasion Attacks. [PDF]
Pawlicki M, Choraś RS.
europepmc +1 more source
Towards Automated Eye Diagnosis: An Improved Retinal Vessel Segmentation Framework Using Ensemble Block Matching 3D Filter. [PDF]
Naveed K +5 more
europepmc +1 more source
Fast HEVC Inter-Prediction Algorithm Based on Matching Block Features
A fast inter-prediction algorithm based on matching block features is proposed in this article. The position of the matching block of the current CU in the previous frame is found by the motion vector estimated by the corresponding located CU in the ...
Kai Zhong +5 more
core +1 more source
Block Matching Pyramid Algorithm-Based Analysis on Efficacy of Shexiang Baoxin Pills Guided by Echocardiogram (ECG) on Patients with Angina Pectoris in Coronary Heart Disease. [PDF]
Gao J +7 more
europepmc +1 more source
Matched Block Transform Design Techniques
Publication in the conference proceedings of EUSIPCO, Trieste, Italy ...
Hakan Çaglar +3 more
openaire +2 more sources
Putting Context into Schema Matching [PDF]
Attribute-level schema matching has proven to be an important first step in developing mappings for data exchange, integration, restructuring and schema evolution. In this paper we investigate contextual schema matching, in which selection conditions are
Elnahrawy, Eiman +3 more
core

