Implementation of Image Compression Using DWT Abstract: Now a day the growth of data intensive, rich text based and multimedia based applications, best Image compression and Sound compression solutions are becoming critical day by day. Image compression and Sound compression are the applications of data compression and the main aim is to reduce the data redundancy and improve the quality of the given information.
The main application for the compression is the Fourier analysis, which is a good application that transforms time based signal from source to frequency domain signal at the destination side. The features of a non-stationary signal will not be observed by using Fourier analysis technique. The other technologies used are vector quantization method; sub-band coding method and discrete cosine transform compression. The flaws & drawbacks in the above three methods are they cannot be used for real time mat lab systems.
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