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Final Year Project 2010-2011: 

Analysis of Image Compression Algorithm

Project Description:
Image compression is a process of reducing redundancy of the image data in order to store and transmit data efficiently. In this project, we will study different image compression techniques such as singular value decomposition (SVD), discrete cosine transforms (DCT) and Gaussian pyramids, with a systematic comparison between different approaches. Lastly, we will explore the possibility of applying these compression algorithms to surface data.

Tentative schedule:

Reading materials: (will be updated regularly)