Results 11 to 20 of about 3,209,428 (350)
The major challenge with fractal image/video coding technique is that, it requires more encoding time. Therefore, how to reduce the encoding time is the research component remains in the fractal coding.
Shailesh Kamble+2 more
doaj +2 more sources
A New Analysis for Support Recovery With Block Orthogonal Matching Pursuit [PDF]
Compressed sensing is a signal processing technique, which can accurately recover sparse signals from linear measurements with far fewer number of measurements than those required by the classical Shannon–Nyquist theorem.
Haifeng Li, Jinming Wen
semanticscholar +2 more sources
MR Image Reconstruction Using Block Matching and Adaptive Kernel Methods. [PDF]
An approach to Magnetic Resonance (MR) image reconstruction from undersampled data is proposed. Undersampling artifacts are removed using an iterative thresholding algorithm applied to nonlinearly transformed image block arrays.
Johannes F M Schmidt+2 more
doaj +2 more sources
On Recovery of Block Sparse Signals via Block Compressive Sampling Matching Pursuit
Compressive sampling matching pursuit (CoSaMP) is an efficient reconstruction algorithm for sparse signal. When the signal is block sparse, i.e., the non-zero elements are presented in clusters, some block sparse reconstruction algorithms have been ...
Xiaobo Zhang+4 more
doaj +2 more sources
Evaluating Blocking Biases in Entity Matching [PDF]
Entity Matching (EM) is crucial for identifying equivalent data entities across different sources, a task that becomes increasingly challenging with the growth and heterogeneity of data. Blocking techniques, which reduce the computational complexity of EM, play a vital role in making this process scalable.
Moslemi, Mohammad Hossein+2 more
openaire +3 more sources
We present a novel method for segmentation and tracking of the left ventricle (LV) in 4D ultrasound sequences using a combination of automatic segmentation at the end-diastolic frame and tracking using both a global optical flow-based tracker and local ...
D. Barbosa+3 more
semanticscholar +2 more sources
Pixel Decimation in Block Matching Techniques
Block motion estimation using full search algorithm is computationallyextensive. Previously proposed fast algorithms reduce the computationcost by limiting the number of locations searched.
D. Levicky, P. Radoczi
doaj +2 more sources
FmCFA: a feature matching method for critical feature attention in multimodal images [PDF]
Multimodal image feature matching is a critical technique in computer vision. However, many current methods rely on extensive attention interactions, which can lead to the inclusion of irrelevant information from non-critical regions, introducing noise ...
Yun Liao+5 more
doaj +2 more sources
Sequential Blocked Matching [PDF]
We consider a sequential blocked matching (SBM) model where strategic agents repeatedly report ordinal preferences over a set of services to a central planner. The planner's goal is to elicit agents' true preferences and design a policy that matches services to agents in order to maximize the expected social welfare with the added constraint that each
Bishop, Nicholas+3 more
openaire +2 more sources
Motion Estimation for Gray Level Videos Using Different Block Matching Algorithms [PDF]
Motion Estimation (ME) is a very important operation in video coding. In order to reduce complexity of computations involved in ME and to increase quality of this process, many Block Matching Motion Estimation (BMME) Algorithms are proposed.
Tareq Z. Hammood, Matheel E. Abdulmunim
doaj +1 more source