Image Compression

 

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  Multiview Image Coding with Disparity-Compensated Lifted Wavelets (Image Compression)

Winter 2006:  For the project in Image and Video Compression, I worked with Nandhini Santhanam on a wavelet method for compressing images of a scene from slightly different angles.  Since the images are similar in nature, together they can be compressed efficiently.  We used disparity compensation to match blocks in one image with the most similar blocks in another image.  Then, we applied the Haar transform to the corresponding blocks from the two images and encoded the resulting images with SPIHT.  After implementing the encoding and decoding algorithms, we generated the associated rate-distortion curves and derived the optimal bit allocation procedure.

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Steven Lansel