Two-Dimensional Wavelet Theory and Codec Huffman for Fast Digital Trasmission of Images

Author(s): Virgilio G. Almeida, Maria Das G. Almeida.

Journal Name: Recent Advances in Communications and Networking Technology (Discontinued)

Volume 4 , Issue 2 , 2015

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Abstract:

This work presents a patent technique for digital image compression using wavelet theory and a Huffman CODEC system that can be used for bandwidth reduction in digital transmission and to decrease time of data transmission in channel information. A twodimensional 1-channel multiresolution analysis and synthesis structure are implemented. In the transmission, the digital image is processed using quincunx lowpass filtering and quincunx downsampling, iteratively, in the analysis part, followed by a Huffman encode, in order to make easy the binary code ordering and to set it for transmission in channel information. Once binary code is set, it can be sent through a transmission channel. In the reception, the digital subimage is Huffman decoded and then submitted to the synthesis process, using quincunx upsampling and quincunx lowpass filtering, multiplying the resulting image by |det Mq|, iteratively, in order to get the digital image perfect reconstruction. The major contributions of this work are the high rates of compression at the end of decomposition process, the facility of Huffman codec implementation, comprising the encoding part, the arrangement of the image vector in the last level, setting it for fast digital transmission through an information channel and the Huffman decoding part. And finally, the efficiency of the digital images perfect reconstruction. Simulations using “MATLAB” were developed with digital images in multiresolution, from the first level until to reach the vector image (last level) in the decomposition part and similarly, from the last level until to reach the first level, in the image synthesis part (reconstruction). Three different images, with different gray levels distributions were used as information source. The images are monochromatic, 8-bits and their dimensions are 1024x1024 (Saturn rings), 512x512 (Lena) and 128x128 (Saturn).

Keywords: 1-Channel multiresolution decomposition and reconstruction, two-dimension, analysis and synthesis, codec huffman, compression, digital transmission, image processing, structures, wavelet.

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Article Details

VOLUME: 4
ISSUE: 2
Year: 2015
Page: [117 - 143]
Pages: 27
DOI: 10.2174/2215081105666160130003942
Price: $58

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