Document Type

Thesis

Date of Award

1-31-1989

Degree Name

Master of Science in Electrical Engineering - (M.S.)

Department

Electrical Engineering

First Advisor

Ali N. Akansu

Second Advisor

Constantine N. Manikopoulos

Third Advisor

Nirwan Ansari

Abstract

A progressive image transmission scheme based upon Laplacian pyramid structure is used for image coding over low-bandwidth channels. The filtering and differential pulse code modulation (DPCM) methods of image coding are generalized to allow quantization of the Laplacian images. Filtering is performed with a local, symmetric weighting function. The three different quantizers, (1) scalar quantizer, (2) memoryless vector quantizer (VQ), and (3) finite state vector quantizer (FSVQ), are used here to compare the results. In the receiver end, the image can be reconstructed using reverse procedure. The reconstructed image is not the same as the original image because of the quantization errors. By the Huffman coding of error images, the original image can be recovered. The computer simulation shows the overall bit rate is less than the entropy of the original image. Overall progressive bit rate is about 0.6 bpp for lossy transmission; and also about 5.6 bpp for lossless transmission.

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