[PDF] Top 20 ADAPTIVE LIFTING BASED IMAGE COMPRESSION SCHEME WITH PARTICLE SWARM OPTIMIZATION TECHNIQUE
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ADAPTIVE LIFTING BASED IMAGE COMPRESSION SCHEME WITH PARTICLE SWARM OPTIMIZATION TECHNIQUE
... coding technique for lossy image ...typical image data to a few coefficients with large magnitude and many coefficients with small ...the image concentrates on these coefficients with large ... See full document
10
Adaptive Lifting Based Image Compression Scheme Using Artificial Bee Colony Algorithm
... as Particle Swarm Optimization (PSO) and Differential Evolution (DE) algorithms, and uses only common control parameters such as colony size and maximum cycle ...an optimization tool, provides ... See full document
7
Integrated Particle Swarm Optimization and Genetic Algorithm Based Compression for Reduction of Blocking Artifacts
... Abstract: Image compression has become very important tool in digital image ...the compression is to reduce the amount or unwanted data while retaining the information in the ...the ... See full document
8
An Improved Digital Image Watermarking Scheme using Particle Swarm Optimization Technique
... reference based image watermarking scheme using DWT-SVD for copyright protection ...blocks based on the magnitude of spatial ...transform technique in the proposed scheme for ... See full document
15
Face recognition technique based on Adaptive Opposition particle swarm optimization (AOPSO) and support vector machine (SVM)
... face image. The subspace of the image space extended by the training face image data has been identified and de- correlated, using the pixel ...face image has been obtained, by projecting the ... See full document
8
Channel impulse response equalization scheme based on particle swarm optimization algorithm in mode division multiplexing
... in adaptive equalization ...the adaptive equalization of the MDM ...using adaptive equalization based on PSO ...management technique for the orthogonal frequency division multiplexing ... See full document
5
Detection & Identification of Rice Leaf Diseases using Multiclass SVM and Particle Swarm Optimization Technique
... spatial based feature like energy, distinction, immobilization moment, relationship and part of ...model image is to be used, second masking from an explicit beginning mark point, third viridescent dots to ... See full document
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ENERGY EFFICIENT DISTRIBUTED IMAGE COMPRESSION USING JPEG2000 IN WIRELESS SENSOR NETWORKS (WSNS)
... generation scheme based on adaptive genetic algorithm (AGA) and particle swarm optimization algorithm (PSO) for Multi-chip Module (MCM) ...constructing particle expression ... See full document
5
Survey on Swarm Intelligence Based Optimization Technique for Image Compression
... Particle swarm optimization is one of swarm intelligence ...technique. Particle swarm optimization deals with problems for finding a best solution and in an ... See full document
6
CLUSTERING BASED ADAPTIVE IMAGE COMPRESSION SCHEME USING PARTICLE SWARM OPTIMIZATION TECHNIQUE
... combinatonial optimization problems.. In the proposed method,the lifting scheme (LS) , is combined with ...of compression ratio,PSNR , encoding time, decoding ...reconstructed image is ... See full document
6
Image classification technique using modified particle swarm optimization
... Unsupervised image classification does not rely on a training ...set based only on their statistics, without using previous knowledge about the spectral classes present in the ...classes based on ... See full document
15
A Hybrid Clustering Based Color Image Segmentation using Ant Colony and Particle Swarm Optimization Methods
... Ant colony optimization was introduced by Macro Dorigo and a colleague in the early 90‟s is one of the most successful strands of swarm intelligence [23]. An individual ant can only do simple tasks on its ... See full document
7
Optimal Dispatch of Real Power Generation using Particle Swarm Optimization: a Case Study of Egbin Thermal Station
... search optimization technique with most recent developments in the category of combinatorial meta-heuristic optimization first developed by Kennedy and Eberhart in 1995 ...a swarm consisting ... See full document
9
A Solution to Economic Dispatch Problem Using Augmented lagrangian Particle Swarm Optimization
... [9 ] H.T. Yang, P.C. Yang and C.L. Huang, “Evolutionary programming based economic dispatch for units with non-smooth fuel cost functions”, IEEE Trans. Power Syst., February 1996, pp.112–118. [10 ] W.M. Lin, F.S. ... See full document
7
A Survey on Image Clustering using Soft Computing Techniques
... 1) Particle Swarm Optimization: The PSO is a population-based optimization algorithm. It maintains a population of entity, where each entity considers a most possible solution for the ... See full document
6
Comparative Analysis of Various Evolutionary Techniques of Load Balancing: A Review
... The Particle swarm optimization(PSO) is a stochastic, population-based computer algorithm modelled on swarm intelligence that finds a solution of optimization problem in a search ... See full document
6
HARDWARE IMPLEMENTATION OF SATELLITE IMAGE COMPRESSION FILTER USING LIFTING BASED5/3 WAVELETS
... In convolution based 1D DWT, two analysis filters, low pass (h) and high pass (g) are used. The data stream x[n] is decomposed into the low frequency and the high fre- quency signal components. Downsampling ... See full document
7
Multi objective Network Reconfiguration of Distribution systems with Distributed Generators
... entire swarm Gworst is the global worst of the entire swarm C1 and C3 are the cognitive acceleration coefficients C2 and C4 are the social acceleration coefficients ... See full document
8
An Analytical Study of the Remote Sensing Image Classification Using Swarm Intelligence Techniques
... Abstract— Swarm intelligence is one of the hot nature inspired techniques that is being used in the many areas of research to optimization the solution of computational ...considered swarm ... See full document
9
A COMPARATIVE STUDY OF ECONOMIC LOAD DISPATCH BY USING GA AND PSO
... and Particle Swarm Optimization, to obtain the optimum solution of economic load ...This optimization technique does not suffer, from some of GA‟s difficulties: interaction in the group ... See full document
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