[PDF] Top 20 An Improved Digital Image Watermarking Scheme using Particle Swarm Optimization Technique
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An Improved Digital Image Watermarking Scheme using Particle Swarm Optimization Technique
... sharing digital multimedia data simple. Thus, digital data can be lossless copied and rapidly disseminated at large scale with less expense and ...copyrighted digital resources illegally without the ... See full document
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Digital Image Steganography using Particle Swarm Optimization with DCT and BPPCM
... intelligent watermarking by invoking particle swarm optimization (PSO) technique in wavelet ...cover image is transformed into frequency bands and the coefficients are randomly ... See full document
5
An Efficient Clustering Scheme for Cloud Computing Problems Using Parameter Improved Particle Swarm Optimization (PIPSO) Technique
... parameter improved particle swarm optimization algorithm has been ...an optimization search problem to identify the optimum center for each cluster groups by minimizing the objective ... See full document
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IMAGE ENHANCEMENT BY PARTICLE SWARM OPTIMIZATION (PSO) TECHNIQUE
... an optimization problem and PSO is used to solve it. Image enhancement is mainly done by maximizing the information content of the enhanced image with intensity transformation ...follows. ... See full document
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Detection & Identification of Rice Leaf Diseases using Multiclass SVM and Particle Swarm Optimization Technique
... model image is to be used, second masking from an explicit beginning mark point, third viridescent dots to be detached which is followed by segmentation process, and fourth texture information are to be calculated ... See full document
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A Novel Water Marking Scheme Using Feature Selection technique using Particle of Swarm Optimization
... all image pixels is usually too expensive in the context of extraction time, storage and time needed for ...computed using: the grey level co-occurrence matrix of the surface, or the wavelet transformation ... See full document
11
An Improved and Robust DCT Based Digital Image Watermarking Scheme
... The watermarking techniques in which the watermark is embedded in transform domains are typically better candidates for watermarking then spatial, for both reasons of robustness as well as visual ...a ... See full document
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IAPSO-TCI: Improved Ant and Particle Swarm based Optimization Techniques for Classifying Imagery
... The underlying mechanism for real ant system is illustrated in Figure 1 [9] [16] [17] [21] [22] [24] . Ants communicate with each other using pheromones. In species that forage in groups, a forager that finds food ... See full document
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Probability based color image segmentation using accelerated particle swarm optimization
... the image segmentation on CAPTCHA ...The technique regards threshold estimation as a search process and employs Accelerated PSO algorithm to optimize ...an improved two-dimensional grey ...the ... See full document
7
Implementation of an Improved Path Selection Algorithm Using Particle Swarm Optimization (PSO) Technique
... Wireless Mobile Ad-hoc networks (MANET) require dynamic routing schemes for adequate performance. In this paper, Author introduce a new dynamic routing scheme based upon stigmergy. In a analogous manner to ... See full document
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ADAPTIVE LIFTING BASED IMAGE COMPRESSION SCHEME WITH PARTICLE SWARM OPTIMIZATION TECHNIQUE
... The following combinations of the control parameters are used for running PSO. The number of particles is 30. Dimension of particles is four since the parameters need to be tuned are 4. Range of particles is the positive ... See full document
10
Survey on Swarm Intelligence Based Optimization Technique for Image Compression
... various Swarm Intelligence algorithm. Swarm Intelligence is based on the collective behaviour of self-organized ...continuous optimization problem on images like Image compression, Edge ... See full document
6
CLUSTERING BASED ADAPTIVE IMAGE COMPRESSION SCHEME USING 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
6
Image classification technique using modified particle swarm optimization
... an image with appropriate ...terrain. Image classification is related to image annotation, although image annotation generally uses a larger vocabulary (that is, number of classes) than ... See full document
15
Image Enhancement Using Particle Swarm Optimization
... Particle Swarm Optimization (PSO) is one of the mod- ern heuristic algorithms that can be applied to non lin- ear and non continuous optimization ...stochastic optimization ... See full document
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Parallel Implementation of Particle Swarm Optimization Variants Using Graphics Processing Unit Platform
... variable number of iteration, we set predefined optimum value for all benchmark test functions, and maximum speedup were 10.9, 62.91, and 27.63 for TPSO, APSO, and ALC-PSO algorithms, respectively. In fixed number of ... See full document
9
Reversible Digital Image Watermarking Scheme Using Bit Replacement and Majority Algorithm Technique
... the image in any ...the image has not been modified by a non-authorized person [12]; 2) Authentication corroborates that the im- age belongs indeed to the correct person and is issued from an authorized ... See full document
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A Comparative Study of Image Authentication Techniques in Noisy Channels
... This technique is suitable for authentication of scalable JPEG2000 compressed ...fragile watermarking technique is used to authenticate ...Fragile watermarking protects higher layer and ... See full document
7
A Hybrid Clustering Based Color Image Segmentation using Ant Colony and Particle Swarm Optimization Methods
... an image, one need to isolate the objects in it and have to find relation among them ...by using the color properties of the image. Pre-processing image is converted from RGB image to ... See full document
7
Improving the Quality of Image Using Particle Swarm Optimization
... for image enhancement is very much parameter dependent and fine tuning of these defined parameters is required in order to get the better result than other optimization ... See full document
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