Hassan Azwar


In today’s technological world as our use of and reliance on computers continues to grow, so too does our need for efficient ways of storing large amounts of data and due to the bandwidth and storage limitations, images must be compressed before transmission and storage. In this paper, we will be implementing lossy techniques for image compression. The techniques used will be Discrete Fourier Transform (DFT), Cosine Transform (CT), Discrete Wavelet Transform (DWT) and Principal Component Analysis (PCA). These four techniques are very much used in the field of Digital Signal Processing for processing many Signals and have many other applications. The software used in our project is MATLAB 7.0. We use this software to implement all the techniques with our algorithms and compare the result.

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