entails progressive refinement of user specified regions of

interest (ROI) of large images. Progressive refinement of

original quality can be accomplished in theory. However, due to

heavy burden on storage resources for our applications, we

restrict the refinement to about 25% of the original data

resolution. Wavelet decomposition with Vector Quantization (VQ)

of the high frequency components and JPEG/DCT compression of low

frequency component is used as representation framework. Our

software will reconstruct the region selected by the user from

its wavelet decomposition at desired resolution. Further

Some common words found in the essay are:
HL LH, IMAGE DECOMPRESSION, IMAGE COMPRESSION, Quantization VQ, , VECTOR QUANTIZATION, Vector Quantization, System HVS, VQ MVQ, vector quantization, HH HL, hh hl, hl lh, hh hl lh, low frequency, progressive refinement, frequency components, wavelet coefficients, variant vector quantization, compressed variant, low resolution, variant vector, compressed variant vector, coefficients hh hl, vector quantization vq,
Approximate Word count = 471
Approximate Pages = 2 (250 words per page double spaced)