JOURNAL ARTICLE

Image Compression Using Wavelet Transform and Vector Quantization

S. AhmedFaten Basher Abdil Ahad

Year: 2006 Journal:   Mağallaẗ al-tarbiyaẗ wa-al-ʻilm Vol: 18 (4)Pages: 145-156

Abstract

In this paper a modified LBG vector quantization alglrithm id presented and used with wavelet transform algorithm to compress the image. The modified LBG algorithm provides good representation for training vectors carrying important information which may repesent rare vectors in the training vectors. So this algorithm overcomes the problem of the traditional LBG algorithm that provides good representation for training
vectors which occur frequently while rare vectors are not well represented. The use of the modified LBG algorithm with wavelet transform give better reconstructed image quality than the traditional LBG algorithm because the rare vectors hich carry important information are better represented. The two algorithm give the same compression ratio.

Keywords:
Vector quantization Image compression Wavelet Wavelet transform Linde–Buzo–Gray algorithm Algorithm Compression ratio Computer science Quantization (signal processing) Mathematics Artificial intelligence Pattern recognition (psychology) Image (mathematics) Image processing

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Topics

Advanced Data Compression Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Image and Signal Denoising Methods
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Neural Networks and Applications
Physical Sciences →  Computer Science →  Artificial Intelligence
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