[PDF] Top 20 Optimized Image Compression through Artificial Neural Networks and Wavelet Theory

Optimized Image Compression through Artificial Neural Networks and Wavelet Theory

... of image compression. Image compression addresses the problem of reducing the amount of data required to represent a digital ...the image. At some later time, the compressed ... See full document

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JPEG Image Compression Using FPGA with Artificial Neural Networks

... Abstract— Image and video compression is one of the major components used in video-telephony, videoconferencing and multimedia-related applications where digital pixel information can comprise considerably ... See full document

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Algorithms for Optimized Training of Artificial Neural Networks

... Many researchers have employed second order optimization algorithms for a number of applications. Reference [41] Compared LMA and SCG algorithm for MLP image compression. Based on the results it was found ... See full document

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Edge Preserving Image Compressor (EPIC) in Medical Image Using Dynamic Associative Neural Networks

... exploitation compression techniques ...loss-less compression, a technique that stems from mathematical theory of communication (Shannon, 1948) and use variable length codes, proposed by Huffman ... See full document

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Modelling and Temperature Control of Heat Exchanger process

... [10] A Real-Time Approach to Process Control Second Edition by William Y. Svrcek University of Calgary Calgary, Canada, Donald P. Mahoney BDMetrics Inc. Baltimore, USA Brent, R. Young The University of Auckland , New ... See full document

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Blind Navigation System using Artificial Intelligence

... invariant artificial neural networks (SIANN), due to their shared-weight architecture and translation invariance ...convolutional neural network can achieve reasonable performance on hard ... See full document

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“Statistical Modeling and Optimization for L-Methionine Production by Corynebacterium glutamicumn Using Plackett-Burman Design, Response Surface Methodology and Artificial Neural Networks” by A. Venkata Narayana, A.V.N.Swamy, India.

... . Artificial neural network (ANN) model is a well established and fashionable tool in the analysis and also used to understand the biotechnology applications such as expression function function, functional ... See full document

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Image Compression Using a New Technique by Artificial Neural Network

... Artificial Neural Networks is currently a hot research area in image processing and it is believed that they will receive extensive application to various fields in the next few ... See full document

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Image Compression Using Cascaded Neural Networks

... for image compression, and superior performance will be gained for large ...search through the entire ...practical image compression method with superior ... See full document

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A Survey of Image Compression using Neural Network and Wavelet Transformation

... effective compression techniques. The basic idea of image compression is the reduction of the middle number of bits by pixel (bbp) necessary for image ... See full document

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Discrete Wavelet Transform for Image Compression and A Model of Parallel Image Compression Scheme for Formal Verification

... DCT-based image compression method performs well at moderate bit rates, the image quality degrades rapidly at higher compression ...contrary, wavelet-based compression technique ... See full document

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Enlarging smaller images before inputting into convolutional neural network: zero-padding vs. interpolation

... the image and the fact that the synaptic weights (a, b, c, d, e, f, g, h, and i) are the same for all convolution ...an image is equal to its power in extracting features from the central ... See full document

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Discrete Wavelet Transforms and Artificial Neural Networks for Recognition of Isolated Spoken Words

... Discrete Wavelet Transforms (DWT) and Artificial Neural Networks ...layer neural network trained with back propagation training algorithm is used for classification ... See full document

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The effect of data pre processing on optimized training of artificial neural networks

... data by learning from an instance [1]. Multi-layer Perceptrons (MLP) are the most common type of ANN. The general structure of MLP comprises of three layers (i.e. Input layer, hidden layer and output layer). Back ... See full document

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Applying neural networks to colour image data compression

... Neural networks [l] are becoming increasingly popular in Engineering because they can adaptively solve real world problems without the need for algorithmic programming 12-61. Neura[r] ... See full document

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Validation of Image Compression Algorithms using Neural Network

... transmission. Image Compression plays a vital role in reducing the storage space requirement and helps to increase transmission ratio over ...scale image that is 256 x 256 will have 65, 536 pixels to ... See full document

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Forecasting Baltic Dirty Tanker Index by Applying Wavelet Neural Networks

... speaking, wavelet analysis explores the sig- nals with short duration and finite ...energy. Wavelet analysis transforms the signal under investigation into another presentation, which expresses the signal ... See full document

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Image Compression using Fractal Image Compression with Multi Layer Feed Forward Artificial Neural Network

... for compression which utilized for ...an image one by one occurrence of the image took after by the quantity of procedures is a fundamental thought for Run-length ... See full document

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Internetworking Indonesia Journal

... and artificial neural network (ANN) [7-8] are widely used as classifier in EEG signal analysis because these methods provide great performance in classification of EEG ...from wavelet transform is ... See full document

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Online Full Text

... that artificial neural networks that have undergone a minor reorganization, where the neural complexity is optimized, are statistically better than the fixed structure network it ... See full document

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