• No results found

A Fast Sorting Algorithm for Median Filtering 64

Fast parallel gpu-sorting using a hybrid algorithm

Fast parallel gpu-sorting using a hybrid algorithm

... an algorithm for fast sorting of large lists using modern ...the algorithm performs better than the bitonic sort algorithms, which have been considered to be the fastest for GPU ...

6

Median Filtering in Constant Time

Median Filtering in Constant Time

... Weiss’ algorithm makes the implementation fairly convoluted and generally unsuitable for custom ...proposed algorithm, including optimization, totals about 275 lines of C code and handles all of the radius ...

6

An Algorithm of Suppressing Image Noise Based on Wavelet Threshold Function and Improved Median Filtering

An Algorithm of Suppressing Image Noise Based on Wavelet Threshold Function and Improved Median Filtering

... Improved median filter, Wavelet threshold, ...an algorithm of suppressing image noise based on the wavelet threshold function and improved median filter is ...this algorithm, salt-and-pepper ...

5

A Novel Algorithm for Efficient Channel Estimation using MMSE Kalman Estimator and Median Filtering

A Novel Algorithm for Efficient Channel Estimation using MMSE Kalman Estimator and Median Filtering

... Technology, Bhopal, Bhopal ABSTRACT Wireless communication is a emerging field of evolution in modern era of technology, and every day it is giving new technology to facilitate human being. The new facilities always need ...

5

Median filtering simulation of bursty traffic

Median filtering simulation of bursty traffic

... on median filter algorithm is proposed and analyzed in this ...paper. Median filter is a useful filter due to its preserving characteristic for image processing ...result, median filter can ...

5

AMF-IDBSCAN: Incremental Density Based Clustering Algorithm Using Adaptive Median Filtering Technique

AMF-IDBSCAN: Incremental Density Based Clustering Algorithm Using Adaptive Median Filtering Technique

... This is due to the fact that this algorithm needs to call the DBSCAN algorithm to make the initial clustering. • AMF-IDBSCAN gives the best efficiency results compared to the other studied algorithms. Table ...

12

Harmonic/Percussive Separation Using Median Filtering

Harmonic/Percussive Separation Using Median Filtering

... the median filtering har- monic/percussive separation ...a median filter of length 17 for both harmonic and percussive filters, as well as using a soft mask with p = ...the algorithm assumes ...

7

Noise free Speech Enhancement based on Fast Adaptive Kalman Filtering Algorithm

Noise free Speech Enhancement based on Fast Adaptive Kalman Filtering Algorithm

... Kalman filtering is known as an effective speech enhancement technique, in which speech signal is usually modeled as autoregressive (AR) model and perform a lot of matrix ...a fast adaptive algorithm ...

5

Detection Moving Object Combination Median Algorithm and Three Temporal Differences and Filtering in Image Processing Techniques

Detection Moving Object Combination Median Algorithm and Three Temporal Differences and Filtering in Image Processing Techniques

... ABSTRACT: Video Background extraction is a key step in numerous automatic applications. In this article, we recommend a new approach by using three sequential images in limited period and giving the precise threshold. ...

7

Title: Adaptive Median Filtering with Modified BDND Algorithm for the Removal of High-Density Impulse and Random Noise

Title: Adaptive Median Filtering with Modified BDND Algorithm for the Removal of High-Density Impulse and Random Noise

... Switching median filters outperform standard median filters in the removal of impulse noise due to their capability of filtering candidate noisy pixels and leaving other pixels ...the ...

6

FAST PARALLEL SORTING ALGORITHMS ON GPUS

FAST PARALLEL SORTING ALGORITHMS ON GPUS

... 4.2.1. Sorting Time Sorting time is recorded as the actual sorting duration of the queue in seconds and does not take into account any memory copy and other contention ...reports sorting times ...

12

SBKMMA: Sorting Based K Means and Median Based Clustering Algorithm Using Multi Machine Technique for Big Data

SBKMMA: Sorting Based K Means and Median Based Clustering Algorithm Using Multi Machine Technique for Big Data

... partition algorithm which is simple and popularly used. This algorithm has disadvantages such as to identify K clusters, initial allocation ...iterations. Sorting based KMeans algorithm and ...

7

Impulse Noise Detection and Filtering in Switching Median Filters

Impulse Noise Detection and Filtering in Switching Median Filters

... switching median filter has proved to be quite effective in removing impulse ...in filtering. The proposed algorithm consists of two iterations for detecting noisy ...proposed algorithm is ...

6

Vocal Separation Using Nearest Neighbours and Median Filtering

Vocal Separation Using Nearest Neighbours and Median Filtering

... It can be seen that the techniques proposed here give better vocal separation than those in [5] in all cases, with the low pass filtering post-processing improving the results obtained using nearest neigh- bour ...

6

A fast elitist non-dominated sorting genetic algorithm for multi-objective optimization: NSGA-II

A fast elitist non-dominated sorting genetic algorithm for multi-objective optimization: NSGA-II

... non-dominated sorting based multi-objective evolution- ary algorithm (we called it the Non-dominated Sorting GA-II or NSGA-II) which alleviates all the above three ...a fast non-dominated ...

11

A New Switching-Based Median Filtering Scheme and Algorithm for Removal of High-Density Salt and Pepper Noise in Images

A New Switching-Based Median Filtering Scheme and Algorithm for Removal of High-Density Salt and Pepper Noise in Images

... than median filter with reduced streaking and computational ...switching-based median filtering scheme and algorithm for removal of impulse noise with reduced streaking under the constraint of ...

11

A Recursive Least M-Estimate Algorithm for Robust Adaptive Filtering in Impulsive Noise: Fast Algorithm and Convergence Performance Analysis

A Recursive Least M-Estimate Algorithm for Robust Adaptive Filtering in Impulsive Noise: Fast Algorithm and Convergence Performance Analysis

... Fig. 1(b) shows the following modified Huber M-estimate func- tion used in this paper. otherwise (2) where is the threshold parameter. It can be seen that the func- tion is a real-valued even function and is quadratic ...

18

QuickXsort - A Fast Sorting Scheme in Theory and Practice

QuickXsort - A Fast Sorting Scheme in Theory and Practice

... Figure 15 compares different QuickMergesort variants to Mergesort and std::sort . In particular, we compare median-of-3 QuickMergesort with different values of α. While for the number of comparisons a smaller α ...

72

A Comparative of Analysis of Image Restoration Using Mean and Median Filtering

A Comparative of Analysis of Image Restoration Using Mean and Median Filtering

... decision-based algorithm for the restoration of gray-scale and color images that are highly corrupted by Salt-and-Pepper noise, is proposed in this paper which efficiently removes the salt and pepper noise while ...

7

Using median filtering in active queue management for telecommunication networks

Using median filtering in active queue management for telecommunication networks

... RED algorithm signals congestion by dropping marked packets, there are many occasions in a TCP/IP network when a dropped packet does not result in any decrease in load at the ...RED algorithm drops an ACK ...

9

Show all 10000 documents...

Related subjects