Year:2019   Volume: 1   Issue: 1   Area: Applied Physics

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Maysam Qasim KAITTAN, Israa J. MUHSIN, Hanaa I. ALI

COLOR IMAGES COMPRESSION USING VECTOR QUANTIZATION (VQ) TECHNIQUE WITH DIFFERENT MATHEMATICAL TRANSFORMATIONS

Image data compression is one of the most important techniques in digital image processing that used to reduce the size of image data with taking into account getting good quality of the compressed image, before several decades the researchers produced a lot of coding methods to decrease the image size, these methods include loss data compression and lossless data compression. in this research vector quantization techniques have been used to compress color image, firstly vector quantization has been applied using only cosine transform and then using principle component transform together with cosine transform, secondly vector quantization (VQ) has been achieved using wavelet transform only and then using the same transform with the principle component transform, many statistical properties have been shown and many fidelity criteria have been computed. This manuscript also includes the theory concepts of Vector Quantization, cosine transformation, principle component analysis and wavelet transform.

Keywords: Image compression, Vector Quantization (VQ), DCT, PCT, Wavelet.


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